Announcing Oracle Autonomous Transaction Processing

statements in this presentation relating to Oracle's future plans expectations beliefs intentions and prospects our forward-looking statements and are subject to material risks and uncertainties a detailed discussion of these factors and other risks that affect our business is contained in our SEC filing including our most recent reports on Form 10-k and Form 10-q particularly under the heading risk factors this presentation is intended to outline our general product direction it is intended for information purposes only and may not be incorporated into any contract it is not a commitment to deliver any material code or functionality and should not be relied upon in making purchasing decisions the development release and timing of any features or functionality described for Oracle's products remains at the sole discretion of Oracle [Music] please welcome Larry Ellison [Music] thank you very much we're we're here this afternoon to talk about the latest developments in our autonomous database technology back at Oracle OpenWorld last year we announced the Oracle autonomous database the world's first and only autonomous database and then in March of this year we delivered the first version of that for production use for data warehousing so this was optimized to run a high-performance queries so we can handle data warehouses data Mart's data lakes any any large aggregation of data go in and inquire about that data and return results in an optimal fashion the cool thing about it was because was autonomous the database it was fully automated human beings didn't create their database the database is created itself human beings didn't tune the database the database tuned itself we were able to do that for data warehousing and data Mart's back in March of this year and now we're announcing the immediate availability of the Oracle autonomous database for a transaction processing so now the this machine learning based technology not only can optimize itself for queries for database database warehouses and data Mart's but we can also optimize it also optimizes itself for transactions so it can run batch programs reporting Internet of Things simple transactions complex transactions all of it and mixed workloads so between these two systems the system that Optima is optimized for data warehousing and the system that's optimized for transaction processing the Oracle add-on of autonomous database now handles all of your clothes all of them okay the auricle autonomous database everything infrastructure the database the data center everything is automated there's nothing to learn and there's nothing to do think about this how hard is it to learn to drive a self-driving car what kind of class do you take - you know who do you hire to teach you to drive a self-driving car how long does it take to learn I mean it's kind of a mean it seems strange but there's nothing to learn if you want to use the oracle autonomous database you know you have to learn nothing so the same thing with a self-driving car now when you get in that self-driving car how hard is it to drive what do you need to do to drive that self-driving well you have to tell youtell where you want to go you tell it where you want to go and then you take a nap or browse browse the web or read a book or whatever so I know it sounds strange nothing to learn nothing to do one of the interesting things about database technology is there are IT experts that specialize in relational databases like Oracle and they learn how to drive these things and the traditional IT developer probably is not an expert at database or the Oracle database or any database in fact one of the reasons no sequel databases are popular is because they're very easy to learn and use it was the simplicity you know you fact that you didn't have to learn a lot in order to use in no sequel database it did a lot less mean it doesn't we have no sequel databases god bless you if you want to use them but the real attraction to the traditional developer to using a no sequel database was there wasn't much to learn who was get put very simple the Oracle database was it you know very complicated to learn how to how to create a database and how to the database into all that that's all gone now now we're as simple to use as the simplest databases on the planet no sequel databases there's nothing to learn there's nothing to do we're much easier to use than any other relational database or object database or a columnar database or what have you we are now the easiest database in the world to use because again I'll say it again nothing to learn nothing to do and when there's nothing to learn and nothing to do it's much lower there's much less labor associated with running this database so it's much much lower in cost in fact it's the lowest cost database to operate okay another reason why the Oracle database is so low cost to operate is that it's truly elastic I know that Amazon calls its cloud the elem the elasti c2 elastic cloud elastic compute compute cloud but their databases are not elastic let me explain how this works so when you create an Oracle database the system automatically provisions itself in other words it allocates storage it allocates Network capacity it allocates compute capacity in memory or automatically allocates that stuff but then when you start to run your application let's say you're not using all of that capacity you don't really need that capacity it's the load let's say in the middle Knights very low well if the load is very low or a cool start deallocating servers and deallocating servers when Oracle's not running when the when the application isn't running there is no server there's zero servers allocated to the database it's what's called server list cloud or server list system and as you need capacity near the end of a month through the end of a quarter or a busy you know busy shopping day or what have you it will automatically add servers while the system is still running so as Oracle starts to slow down because more and more people log on and there are more and more transactions it automatically adds another server it automatically adds additional Network IO an additional i/o capacity when it adds the server it will automatically scale itself up as the demands on the system go up so performance is sustained and will automatically scale itself down so when there isn't a lot of demand on the system you're not paying for what you don't use Amazon's databases can't do that they can't dynamically add a server when the system is running they can't dynamically add network capacity they can't they don't can't dynamically take a server away when there's not demand and it's not server 'less when it's idle so this is a case it's a truly elastic system you only pay for the infrastructure that you use that's one reason why we can guarantee to cut your Amazon infrastructure bill in half we're not talking about the total cost of ownership we're not talking about talking about the part yeah yeah we get rid of all the labor no that's not that's in addition this is just the plain infrastructure the cost of compute networking and storage just the infrastructure bill you get from Amazon to run either of their databases Aurora or a redshift just the infrastructure cost we cut that bill in half and of course we eliminate virtually all of the labor which is even even bigger savings truly elastic you only pay for what you use all right last year at open world I did a bunch of benchmarks where I compared the Oracle database running a data warehouse to redshift and there are all of these benchmarks and we were between actually closer to 10 times than five times but we were we consistently between five and ten times faster than redshift and that was on the identical hardware configurations same hardware configurations we were 5 to 10 times faster well if you're five times faster and you charge by the minute so you know if we do in six seconds what they do in a minute we're not just five yeah we're just not ten times faster we're ten times cheaper because you're charging by the minute these performance advantages translate into dramatically lower costs because you charge by the minute if we run if we if we can do the same amount of work and half the time we're half the price if we can do the same amount and work and a quarter of the time we do we're a quarter of the price and in the case of Amazon data warehouse with redshift vs. Oracle's data warehouse autonomous data warehouse we were between five to ten times faster five to ten times cheaper that's why it's actually very easy for us to guarantee give you a written guarantee that we cut your Amazon bill in half you take your existing redshift application bring it over to Oracle will guarantee that your cost your bill will be cut in half well how did we do in transaction processing that was then this is now how did we do in transaction processing well Amazon's has two separate databases one designed for query processing data warehousing that's redshift they have another one that's designed for online transaction processing and that's called Aurora how did we do against Aurora well in the very simplest case the best we could get out of Aurora you know Aurora at its best is 1/12 is fastest Oracle this is when Aurora is really doing what this is what but I guess Amazon would show up they were showing these slides that Aurora was only here because the second you you have a mixed workload on Aurora we're more you know more than a hundred times faster than Amazon and you can see that our transaction rate with from pure transaction processing went from eighteen thousand three hundred to eighteen thousand one hundred when you added the next workload you saw Amazon degraded quite a bit more you know they have to have one databases pretty good at query processing one great date of it well I wouldn't say it's not it'll actually isn't that good a query processing it's okay it's the best thing they've got for query processing and then they got an Aurora is the best thing they got for transaction processing neither one is very good but when you put a mixed workload on one of them when you have a combination of transactions and queries it's really not I mean a hundred times slower is not good let me back back up one please can you back up to slide please thank you and so the second line AWS has been around for a decade he had been here for ten years Amazon Web Services been here for ten years Amazon runs their business on Oracle now they said they made a big announcement actually they made a big announcement after I said hey Amazon is one of our best references they just gave us another 50 million dollars for the Oracle database and you know the they thought they don't like being our best reference they think of themselves as a competitor so it's kind of embarrassing when Amazon uses Oracle but they want you to use Aurora and redshift and oh yeah AWS is great we got Aurora we got redshift what do you use so I don't don't ask don't ask and then they say oh no but now they make a big announcement we're gonna move by 2020 we think we can get off Oracle by 2020 we think you get a horrible well you know it's interesting they've had ten years to get off Oracle and they're still on Oracle and it's not going to be easy for them to use their own technology it's not going to be cost-effective I mean it's really really hard we've had other competitors you know competitors don't like being our best references Amazon doesn't like being our best one of our best references I'm not going to pick on our good customers s ap is another big competitor a decade ago they came up with Hanna their own database and they said they're gonna get off Oracle they're getting everything off of Oracle and they're gonna run on Hana ten years later they're still running on Oracle all of their cloud all their cloud applications are running on Oracle virtually all of their customers run on or you know your P customers run on Oracle it's a really good database it's a really good database so good that our competitors our competitors are some of our best references at one point I know there were articles in the newspaper I don't know what Salesforce was thinking but there were articles in the newspaper the Salesforce is going to move off of work on their testing Postgres and their testing this and they're testing D beach they're testing all of this stuff no call them they're not getting off of Oracle it is by far the best database in the world and it just got a lot better because now it's autonomous it's not going to be easy at first ten years Amazon couldn't get off of Oracle I think we should watch them very closely they got a goal to get off by 2020 s ap couldn't do it Salesforce couldn't do it I don't think they can do it anyway we'll find out okay so next thing not only is Oracle much faster and much lower cost to operate it also protects your data it protects your data against data theft and cyber attacks of any kind of any kind but most importantly against data theft venerable thing about when your data is stolen you sometimes if you're the CEO you get your name on the front in the front page of a newspaper that's not good you don't want your name on the front page of a newspaper you don't want your data to be stolen the auricle autonomous database automates a great deal of data security we have continuous monitoring to try to detect a threat or some kind of intrusion so we're constantly monitoring this you know to check it for again a threat of vulnerability and intrusion the moment a threat is detected the system has the ability to automatically patch itself while the system is still running there's no system in the world that can do this other than Oracle automatic threat detection and automatic remediation while the system is still running you know normal systems other systems you have to schedule downtime you know take the system down and then patch the system so you have to find all the systems that you have you have to locate all the systems not easy people have thousands or tens of thousands of databases believe it or not large companies but even you know but they're it's very difficult just to keep track of all of them take them down make sure they're patch when this is a manual process you know human beings make errors when it's a manual process is a risky process now it's completely automated and it's immediate the system wall running we don't need downtime while the system is running it automatically patches itself and closes a security vulnerability we don't have to take the system down to patch in fact we don't have to take the system down to upgrade from one version of Oracle to the next version of Oracle we don't have to take the system down to scale to add another server to the workload in fact your downtime your downtime should be less than two and a half minutes every month that's what will guarantee again we will guarantee that we have 99.995% availability we'll be including for maintenance and patching as you know adding servers everything well then that includes the operating system we can we can patch the patch the OS while the system is running that includes all downtime everything you're only down two and a half minutes guaranteed Amazon can't do any of this stuff that's why we're at least a hundred times more reliable than their to patch to scale to do to upgrade to do any of that stuff they've got to take the system down we don't we do it while it's running therefore the system is virtually always available a server fails the server fails and your application keeps running this system is fault tolerant the server fails let's say there's a database software bug a database software bug that happens you know and therefore one of the database servers fails but not to be the hardware failed because the software fail no problem your application keeps running we have multiple servers working you know with Oracle Oracle RAC Oracle parallel server we have multiple servers working on it you know supporting your workload so when there's a failure like that the application doesn't even see it transaction just fails server automatically application keeps running Amazon can't do that we can't do anything like that everything ever is so we tolerate in other words we don't just because there's a hardware failure the system keeps running we tolerate that failure when there's a software failure a system keeps running we tolerate that failure and because everything is automated the system is autonomous there are no human errors either that's it no human accidents and no human malice no mischief no mistakes all goes away because of automation Amazon doesn't have that Amazon's databases - aren't autonomous they can't tolerate hardware failures like that oh so we're database server failure they can't tolerate that again there's more reasons for reasons why Oracle is a hundred times more reliable than Amazon we've been working on these problems for a very very long time I'm not going to take you through this slide you know but just to say just even since since version 9 of the database and obviously there are versions that came before that we have been doing all sorts adding all sorts of features and functions to automate the Oracle software to make it on this journey to autonomous we've been working on this for a very long time and finally with 18c it's autonomous and by the way version 19 C which I will talk about right at the end of the presentation is due out end of this year so we have another version coming out very very soon so we continue to work you know we're delivering all sorts of real cool things but with 18 C we are fully autonomous now for data warehousing and transaction processing but it's not sufficient it is not sufficient just to make the database autonomous the database runs on compute and storage and networking someone's got to manage all of that and it can be you it could be us or better yet it could be the system the software the machine learnt machine learning it that this this also could be made autonomous and that's what we've done we've been working on on special you know adding all sorts of capabilities to the software the underlying software and hardware that Oracle runs on operating systems parallel server things like Exadata and you know interconnects all this stuff we do not have made the database autonomous but you have to have the full automated capability on the underlying infrastructure as well and then you're still not done because you have to then automate the processes in the data center so to have a true you know for the have an Oracle autonomous database it's really made up of three separate and big components the database offer itself in the middle but the underlying infrastructure has to be autonomous and the ER and the overall cloud management the overall cloud also has to be autonomous has to be autonomous has to be reliable has to be secure to deliver that those numbers those performance numbers those availability numbers you have to have all three pieces of the puzzle okay how does it work well it automatically provisions itself and we provision it provisions the autonomous database runs on this exadata server that's exited is a very interesting architecture I'm not going to go into a lot of detail but it uses until Intel processors it uses if you will standard to socket Intel servers but has a very fancy interconnect how they're interconnected it has some very fancy network security built you know in it it has you know some very fancy realize you know reliability soft software and hardware but it we we run on Exadata which is really a parallel server structure and I'll show you that in the next slide but it runs on our latest fastest autonomous infrastructure and we use rack real application clusters parallel server what it would used to be known as but it's a parallel scale out system so your workload whenever you're running an application you never have one and only one server running the database you always have at least two servers running the database so if one fails the other one picks up and by the way if one fails and the other one picks up a third a third one is quickly allocated you're never you have no single points of failure in the system the exadata system is designed so there are no single points of failure still we can tolerate network network losses server you know server losses all of that where the application keep running it's secure much more secure than other system I mentioned before how it automatically detects and then patches while running vulnerabilities another thing it does you totally unique to Oracle one big problem virtually all databases have is that the tech the techies who create the database the DBAs who create the database can see the user data inside the database maybe you don't want our programmers to know what's inside your database so with Oracle that's not the case with Oracle you know we really have this separation of duties the people who create you know who create the database if you will the DBA is who kind of manage the technology cannot see the user data that it's not true in the Amazon databases the people create their databases can see the user data that's a huge security vulnerability enormous vulnerability that Oracle does not have and of course we encrypt all the data Internet yeah both the data at rest and the data and when it's moving in the network again we patch all the software while the system is running not just the database if you can't pat if there what about I know there's an OS bug or no less vulnerability you better be able to patch that too so we've been you know our version of Linux we've been working on people I appeal to wise Oracle working on a version of Linux there are eight you know there are lots of versions of Linux why why create one more well we created one more for a variety of reasons performance was one reason security security was another reason we have to be able to patch that software while the system is still running because of all we can patch the database weak otherwise we can't handle handle the vulnerability we've got to be able to do all of it so it's that's why we had to have a automate the database and also automate the underlying infrastructure including the operating system VMs and all that other stuff okay and patch it and obviously manage it automatically all right we we automatically back up the database and it's but you know depending on the policies you set used to the policy you could back it up to the same datacenter you're probably gonna back it up to a different a separate data center we you know keep you know if you if you select active Data Guard we run active Data Guard and in another data center and we do that so the system is highly highly reliable and all again all of this stuff is automated the scalability I mentioned earlier you never have you can see this as you need more capacity chunk here comes another server here comes another server here comes another server then you don't need it goes away goes away nobody does this so you only pay for the stuff that you use it truly is elastic there is not nobody but Oracle can do this because of how we do parallel server and how how our architecture works with with rack or parallel server it really is truly pay for what you use it's the system automatically opportunist and optimizes itself so it automatically creates and drops indexes that automatically rebuilds query plans it and you'll you'll see in nineteen see we've added we've added something really cool I don't wanna get ahead of myself but everyone's very excited about this but it we have autonomous regression testing if you will it automatically tests itself to make sure nothing can ever go slower you know as we to new versions of database this is kind of a little inside baseball but but as we make the database faster with new versions and we tune a thousand queries 990 to nine of them one faster one runs slower and someone gets very upset about the one they run slower and that will never happen again now with autonomous with 19c it checks the new query query plans to make sure that if they're not faster we'll use the old query plan it's just autonomous regression there can be no more regressions the system will make sure that never happens again that's 19 see you gotta wait till the end of the year for that but but again we continued opt you know optimize and automate even back to automating testing ok so specialized work late loads automated data warehousing is designed for very complicated queries versus automated tonica's transaction processing it's for OLTP the data is stored differently as a system optimizes itself as we as the machine learns about how to tune itself as machine learning works for the automated data warehouse we use a columnar format the data is stored in column forms with transaction processing it's rows in the case of is some some of the optimization this is just a few a few examples so one of the optimizations for data warehousing is we'll see if you if you're constantly asking the same query over and over again we'll pre compute the query you know and we'll keep it around so the next time we don't have to compute we can just say you just you just ask that question or someone else just ask that question here's the result you get it instantaneously so you know creates data you know data summaries in the case of OLTP the toughest thing is getting data off of your storage device probably flashed these days not disk but get it from get it from storage and into memory and to do that very fast there's a technique called our DMA so just reading directly into memory not by patent not having a long code path to go through anyway these are examples of performance optimizations for and how they're different between transaction processing and data warehousing and now the machine learning the machine has learned how to do both with the latest version of the Oracle database okay there are lots of benefits you don't we upgrade the OS for you at the OS has the security vulnerability we patch it for you automatically we keep it up-to-date so you know that your version of the database and your version of the OS and your version of the VM have all of the latest security patches on them and that we're constantly monitoring for new vulnerabilities and if they one shows up we immediately patch that there's no delay and we do that across the board so I know some people say oh my god all this is automated what it what yeah I'm a DBA I've been an Oracle expert for years am I you know am i up for early retirement I got some bad news for you know early retirement your job I mean a lot of the tedious things you were doing allocating dis storage and you know upgrading the OS is you don't have to do that however there's lots more to do we you'd be able to work with the developers to you know create new applications improve the analytics may I do you do a better job with data design I mean CIOs are called chief information officers you know because they're trying to get the most out of the company's information DBAs should be helping them you know our database administrators they administer the data they should be marching exactly in the same direction trying to maximize the value of the data create more applications improve the analytics improve the insights available the company on the data they shouldn't just be patching the operating system they shouldn't just be adding more storage buying more storage and doing all of that it's nice you automate the tedious stuff away so you can focus on the mission which is to get the most out of your data and build new applications for your customers and of course by not having human beings doing some of the tedious clerical work in terms of running the database if you eliminate human labor you also eliminate human error and your system is much safer much more reliable much more secure okay I mentioned this earlier developers who are not database experts now can use the Oracle database it's now the easiest database in the world to use so a developer does is not dependent on a database expert to set is set the database up for them and they you know they can do it they can get started right away they can create their own database they don't have to rely on other people to tune to tune their application the application will tune itself and this makes developers and IT organizations dramatically more productive and that's a huge benefit I mean productivity being able to your applications out sooner those applications being more reliable more performant having better you eyes all of that stuff is made possible by using the most advanced autonomous database and it's very easy by the way if you're if you're using Amazon Arora and we encourage you to do this to go from Amazon Arora to move over to Oracle autonomous database or as your a sequel Micra doesn't mean you know Microsoft's product or it's very easy to simply use our migration tools to pump the data from these manual databases into the Oracle autonomous database it's fascinating most people who are breached most people who suffered data theft suffer data theft long after the vulnerability was known about and a patch was available to fix the vulnerability I mean it's and that makes it all the more embarrassing and costly so the great thing about the Oracle autonomous database the second of all nura bility is detected the system patches finds all the versions of the database they're vulnerable and immediately patches them there's no time delay and you know they've all been patched because the system patched them you weren't relying you weren't reliant upon some manual process to schedule the appropriate down time to get your database secured the detection of the vulnerability is automatic the remediation the patching is automatic and immediate okay you'll see the number 99.995 all over the place it's highly highly available failures we tolerate hardware failures we tolerate software failures we eliminate human errors the database you get a new version of Oracle so let's say you know where I said we're on 18c now or the autonomous database out at the end come as out then a year is 19c and okay well how much downtime do I have to schedule to move from 18 seeded 19 see I've got to change all the database offer how much downtime none none because we have multiple servers running your application multiple database servers what happens is let's say you let's say you only have two you could have 2 4 16 whatever but let's say you have the minimum you have to running on exadata what happens is we take one down upgrade this offer from 18 to 19 bring it back up take the other one down upgrade from 18 and 19 bring it back up and you're running so what happens is for a little while you're running on one server actually that's not even that's not true because you have another one in reserve you have you you you're always fault tolerant so you so if during that upgrade there's a failure and the server you're still running you'll fail over to another 18c server so you can argue there's always there's always at least you know conceptually there's always at least three servers when you when we're doing the upgrade but we can upgrade change this offer well the application still running no sketch downtime the system constantly is tuning itself this is another thing so so it's not typically when an application is built by a developer and then the database expert goes and it Tunes the application once it's tuned it goes live it's tuned in its life after a while a week months a couple years the database might have gotten a lot larger the distribution of the data could have changed the tuning that was done initially might not be appropriate for the current situation there could be more users more data different distribution of data all this other stuff the Oracle autonomous database continuously Tunes itself it's not like one-off in the beginning then maybe once every year or something like that it's constant continuously tuning itself this makes it faster and much cheaper to operate because we're yeah because we're optimizing both for performance and using a minimum amount of infrastructure to get that performance and you just pay for the infrastructure you use we even handle we even protect against user errors let's say someone by mistake deletes you know a thousand customers all the beginning well you know last names begin with E I think like Amazon will probably delete my account I better today I'll probably fortunate I have a guy I just bought the latest Kindle so it's great product so if someone makes a mistake and deletes data they shouldn't have deleted we have this this thing called flashback queries that allows you to go back go back to earlier versions of the database not backups you know earlier you know earlier versions of a specific query result and recover that data they don't have anything like that so we have the ability to even protect against user errors whether they're mr. honest mistakes or done with malicious intent we handle all of those situations makes us much more reliable much more secure and much more available okay again I think I said this before very easy to move an Oracle database into the cloud an on-premise database into the cloud or move my sequel or Postgres or you know something else into the cloud you simply use our data pump which will make the appropriate data format conversions make sure the data is encrypted remove administrative privileges that create security vulnerabilities does all of the all of those things and the fact and we use Golden Gate our Golden Gate technology to make sure even during the migration your system is accessible and your system can keep running okay so the lowest cost database to run if you're an existing Oracle customer if you already have Oracle licenses you don't have to buy any Oracle database offer you already own Oracle database software so if you have on-premise licenses you can reuse those like there's nothing to buy there's no salt no database software to buy you just reuse those licenses in our cloud you continue to pay support but those database licenses are now in the cloud they're not on-premise so there's no additional software cost all you pay for is the infrastructure that you use and again we were very good at minimizing the amount of administer infrastructure you use because we automatically scale up and scale down it truly is elastic and because of the that elasticity you only pay pay for what you use we can reduce your costs dramatically I know we guarantee 50 percent we guarantee 50 percent we can do a lot better than that our we cut costs a lot more than 50% just on infrastructure alone and then the the the fact that we eliminate the labor that we eliminate the labor is even a bigger deal I'll go to the next slide I mean this is really more important than cutting your Amazon infrastructure bill by 50% or 60% or 70% or 80% whatever it is it's gonna be more than 50 for sure but the biggest deal is all of that labor is now goes to zero all of that cost all and all of those valuable human resources all of those experts as database experts can now be working on building new applications building creating new databases getting better improving your analytics getting better insights about your business those precious resources which are in short supply can be redeployed from a more useful tasks than allocating storage and allocating but in and buying network cards and doing those kind of things there's huge amount of cost in downtime when you when you have to it can be extraordinary cost if you have to schedule downtime to patch a security vulnerability and you your data is still in between the time you scheduled the downtime and you and you did the patch the costs can be extraordinary but just downtime in general the downtime for maintenance downtime you know downtown because of hardware failures downtown's good with software failures down times because of patching all of that downtime is very expensive has to be scheduled there's a lot of Coast's costs associated with it those costs go away there are no costs and of course the productivity back to the productivity of your people who are no longer doing administrative tasks but again are building the next generation application with the next generation voice UI with the next generation visualization analytics freeing up the resources to innovate rather than administrate makes us makes all of all of the users more more effective okay you can try it for free it's an it's immediately available just log on log on to our cloud and get a and and give it a test drive I think you'll like it the okay I'm gonna take I'm gonna almost done I'm going to take two minutes I mean everything I've talked about so far is available immediately we have it autonomous transaction processing autonomous data warehouse all of this stuff is available now I'm gonna do a little bit of a teaser I'll talk about this at Oracle OpenWorld and that's the new version Oracle 19 C which I think will be out before it's supposed to be out in 2019 but we've already named it 19 C but it might be out in 2018 I hope you forgive us so you know it's gonna be out either at the end of this year or worst-case January next year one of the coolest things you don't have to read the slide one of the coolest things is this idea that as you upgrade to 19 C there will be no performance regressions no query plan performance regressions so we think all your queries will run faster except the ones that run the same and that's the worst case is running the set because well literally as we run the application run those queries for the first time will kind of run side but you know we'll run kind of a test side by side of those things the old query plan the new query plan of the new query plans faster great you get the new query plan the old query plan is faster you keep the old query plan no more performance regression testing that's a huge effort that our our customers have to make to upgrade from one between one version of our database than another is all this all this testing for regressions for you know where the system has gotten worse not better system does that at four you know in nineteen see how good how good is our automated tuning I mean interesting question with 19 C we did you know we we did this very interesting test we took an enormous ly complicated system with high quality experts tuning it over a long period of time and that's the NetSuite ERP system the NetSuite cloud ERP system and actually straight out of the box right now current state of 19c straight out of the box is slightly faster slightly faster than what all of the experts were able to do over the last 20 years so it said this has had 20 years of expert tuning this is their business making this system run fast and they've had lots of experience with lots of different use I mean they have thousands and thousands of companies on this thing I think 20,000 companies to me like oh yeah using the CR P system and already the expert system is a little better than the 20 years of expert tuning that's gone into it it's kind of remarkable and it's and it just and the machines just gonna get smarter and smarter and smarter the other thing we're offering with 19c is the ability give you giving you a choice between what I've described in 18 C as the server list system again the server list system is you go ahead and you provision the system but when the systems are not running you have you haven't reserved anything specifically for you you're on this in this pool of Exadata machines again it's a cloud there are other tenants in the cloud it's a multi-tenant system there are other tenants in the cloud so when your application is running you're using some member of those Exadata servers and when your application is not running you're using 0 none of those servers and you only pay for what you use and we think a lot of people want exactly that it automatically scales up and scales down I think a lot of people want that however we think some of our largest customers are gonna say yeah you know I don't want us cheer I don't want to share a my Exadata with anybody I don't want any other companies on this machine or on this network I don't want any noisy neighbors I don't want anyone near me I want to rent the entire neighborhood myself when I'm not in my house don't read it don't put it on the air B&B I own it keep everyone out no one touch it so we give you we give the ability to have dedicated infrastructure safe okay I want to get five exited machines or twenty exited machines then I want them absolutely dedicated to my bank or my phone company or what or what have you and then our customers then have the ability to partition up their their workloads using our container database and there are all sorts of things they can do but then but then it belongs only to that phone company only to that to that bank and you're not even sharing the network you don't even share that yeah there's the network between the the computer the the compute system and the storage system you're the only one on that part of the network it is dedicated to you the network is the storage is the compute is you can partition to the other the way you want nobody else no other cloud offers this kind of isolation inside of their public cloud so again we give you giving these two choices you can have the multi tenant system where you're really optimizing for lowest cost in other words if you're not using the server let someone else use it okay you know I'm fine with me and I think most of our customers will kind of end up that way but I think some of our biggest customers will like this idea I've absolutely dedicated isolated that's my storage that's my network doesn't that's my compute I'm the only one using that but you got a choice we offer both and okay and that's what I just said and I think this is pretty much my last slide and cloud and customer so some of our again some of our very very large customers because of statutory requirements really don't want to be in a public cloud at all even the even the dedicated infrastructure which is pretty isolated they just they want all this stuff behind their own fire and we okay we can basically build the Oracle cloud in your data center we can put the Oracle cloud in your data center and you get the same autonomous capabilities the same you know if you got the same OS the same VM you get the same hardware do you know the exit data hardware you get this everything is the same same software so we can deliver the Oracle autonomous database all the automatic patching all the reliability security availability and we can deliver that inside of your own data center it's the same business model you don't buy the hardware you know you you subscribe you subscribe to the hardware you subscribe to the service it you just say no no I don't want it in your cloud I want it I want it in my data center I mean there are significant advantages that you have a very high speed network so there's there's very low it's very low latency high speed network because it's right in your data center and again some of some very big customers you know again big phone companies big banks are highly regulated and they want that additional level of protection they want all of the automation in a cloud they want the otoño autonomous capabilities of our database they want the security they want the reliability but they say can't you just stick that on our floor rather than in your public cloud and we so we take the exactly we basically take a little Oracle cloud and build it into their data center and that's unique to Oracle we're the only ones that are doing that but our very largest customers have said that's the only way they're able to go to the cloud now so we're making making that available and that comes with 19c so in conclusion the Oracle autonomous database takes this manual process of creating and managing databases and automates the entire thing end-to-end this gives you a much more reliable system a much more secure system the system that protects it protects against data theft the system that's up ninety ninety-nine point nine nine five percent of the time and a system that makes you and your developers dramatically more productive thank you very much [Applause] great thank you so much for joining us - really appreciate it you know so Larry just announced the latest service is part of our Oracle autonomous database cloud offering Oracle transaction processing and you know this is part of an autonomous database announcement and offering that we believe is one of the most significant in the history of Oracle and that's saying a lot and we believe it represents a combination of four decades worth of innovation and we're delivering a market something that not only our competitors can't do but something they did even think to do it is that powerful and we believe that autonomous database can actually help us reshape our approach to IT free our budgets free our resources and free our imaginations to focus on innovation and driving real business growth and new business value and we believe that we're delivering it at a perfect time for our customers and I'm gonna be joined soon by our customers and we're gonna hear their stories firsthand I mean today they're emerging technologies permeate every aspect of working life and these emerging technologies whether it's AI or machine learning or IOT or blockchain are human interfaces are enabling us to embrace innovation in a way we never could before it all to me it's all about us reimagining what's possible in both work and life whether it's self-driving cars or personalized medicine or prescription prescriptive agriculture predictive agriculture or things like smart cities that are changing the way we experience the world around us it's all about new possibilities redefining how business is run and how people both work and live and it's off to be about realizing these incredible opportunities are in front of us however now with opportunities you know there comes challenges I mean that's just the nature of opportunity you know I'd say that if you're on a path that doesn't have any obstacles it's probably not worth following and we believe that there's no challenges that are more relevant today than security you know as we become more connected the threats become more real as we have a larger surface area the threats become increasingly more complex and difficult to prevent and the bad guys who are often state-sponsored actors are using the same emerging technology to wage a highly sophisticated war against us thank companies of all sizes are struggling to keep up with these persistent attacks so how do we how do we address these seemingly competing items how do we reduce risk while at the same time monetize these incredible opportunities we have with respect to innovation in these emerging technologies and the answer to that is autonomous autonomous allows us to fight cyber criminals we can use machines to fight machines to reduce our risk and autonomous also allows us to innovate to drive new insights to process data faster to scale faster to get applications to market quicker than we've ever been able to do before autonomous allows us to innovate while at the same time reducing risks and for Oracle what's important for us is to provide a simple path to autonomous for our customers and for our customers that path is as simple as an upgrade I mean with an upgrade you can leverage your existing skill set your existing investments you can upgrade your experiences you can upgrade your capabilities right you can move to an autonomous AI base future today and for our new customers it's a new starting point based on an innovation platform that continues to deliver and spans all three layers of cloud so we can get them on the path to autonomous and against once we're on that path to autonomous you can experience an autonomous AI base future today not tomorrow we offer that to our customers today and we're gonna hear our supporting stories from that and ultimately the Oracle Thomas cloud really is this new category based on machine learning right and Larry talked about this what does that allow us to do what are the attributes of that category how is it differentiated it is self-driving I'm not the provisioning tuning monitoring upgrading it is self securing automatically applying patches with no downtime and it is self repairing well we can guarantee less than two and a half minutes a month both planned and unplanned downtime and how do those attributes relate to customer benefits well with less administration I can reduce the cost not only can I reduce the cost of administration but every hour I spent on administration I put that towards innovation it's really important we can reduce risks or real costs associated with brisk s-- you can avoid the actual breach cost there's reputational damage there's shareholder value there's revenue losses associated with breach we heard the incredible stat about the amount of breaches that occur even though patches are available magic having a system that patches itself and finally it accelerates time innovation right wrap it inside so I can provision a data warehouse in seconds or I can deploy new applications in minutes those are the benefits that autonomous database provides and we have many customers today who are seeing those benefits of autonomous and while there are different size companies and different industries what they have in common is they've all embraced autonomous solutions to help drive new business value we have Hertz that went from two weeks to eight minutes to provision a database so it allows them to get faster time-to-market for strategic competitive programs we have a partner like Accenture who said the autonomous database is 14 times faster than any competitive product in the market and we have a small Gala based Dallas based firm called qmp who's in the lab management business and they were able to reduce a time it to get lab results from two weeks to as fast as 30 minutes I mean think about that that's faster time two results that means faster time to diagnosis which means faster time to treatment and recovery so our customers are driving really important outcomes and we're lucky today to have three customers would join us you know gap drop tank and data intensity to share their experience with Oracle cloud and their views on autonomous so like I like them to join me on stage and as they join me I like to share a quick video with everybody in the room [Music] [Music] cool moody intro there I was awesome Wow dramatic great thank you for joining us I'd love to go ahead and introduce a panel again I'm really thankful for you joining us and participating today first I'm excited to introduce Connie Santelli who's gapps vice president of engineering and international in FS nooruddin who is gapps chief IT architect gap as you all know is a well-known global retailer their offer apparel and accessories in over 90 different countries notable brands such as Old Navy Banana Republic Athleta nice cozy pants hopefully those come out in a band soon you know so gap is moving to the cloud to continue to innovate and differentiate and we're gonna hear about this fast-moving industry next I'd like to introduce David Van whickering the CEO of drop tank drop tank is an emerging company who's really finding new ways for legacy industries to modernize to engage customers in new ways and drive new business growth and really new new revenue streams they specialize in gas station loyalty rewards or they're now expanding to serve both Airlines as well as hotel industry David thanks for joining us and finally like to introduce Marc Caruso who's the CTO of application practice for data intensity probably the coolest name ever data intensity I just sort of like saying that I want to get that on a t-shirt it's a managed service provider providing enterprise applications and data management you have over 650 customers and you're managing 15,000 environment it's pretty incredible and data intensity specializes in Oracle ERP database management bi analytics and as well as infrastructure so thank you all for joining us and Connie I'd love to start with you you know sort of the retail space is fascinating and I know that fashion and retail really is changing at this rapid pace and for my understanding of customers - sort of multi-channel engagement - how we experience and create these new experiences for retail you can you tell us about this new converged you know commerce paradigm and what opportunities it creates for you sure thanks I think most people know that in the retail industry we've had a really large disruption in terms of digital and what's been happening for us and our customers all of us as customers want to shop anywhere anytime on any device it's a 24/7 kind of demand that we have to satisfy and so that's changed the paradigm for us a little bit and we want to be able to create this experience for our customers that's seamless between the digital experience and them carry that through in terms of the stores which is the traditional base that we know of so it's created a lot of change for us in terms of trying to manage that and to meet our customers in the way that they want to be met and in the way that they want to be met they've also have expectations about more personalization and things of that nature where it's changed how we start to to leverage both of those channels and we want to be able to converge those two channels into that frictionless experience that we can carry them through both from the digital side and into the store so it's part of that this is what we call converge commerce across both channels and being able to leverage and optimize them now it's fantastic you talked to how Oracle cloud helps you address these opportunities to differentiate in a pill it really helps you keep up with this pace of change that's going on in the market sure a couple years ago we started to look at you know like everyone who works in technology what platforms are available to us and what can we start to leverage to start to innovate more and be able to create better opportunities in terms of the platforms and what we're able to do for our customers and so we started to look at the opportunities that were available in the Oracle stack and we started to look at being able to leverage all the way from SAS down to the is and pass layers in our in our platforms we wanted to be able to create those platforms that we could be simplified highly resilient highly available so that we'd give our business the opportunity to be able to innovate and incubate in terms of what we could offer from a from a technology platform and so we started most recently with early adopter of the Oracle retail SAS applications and then also leveraging the is and pass capabilities for our p.m. suite in Hyperion that's fantastic a great example of using all three layers of the cloud on Memphis you know in addition to sort of the retail cloud we talked about how are you looking at using the past and infrastructure like what are some of the benefits you're seeing today and how are you using them so as Bonnie mentioned we've had good success moving our retail packages or good retail packages to Oracle retail cloud the real advantage we're seeing with using your eyes and past offerings is one we can build that integration there's there so we don't have you know our retail backends running in one place applications and so on so forth and we have to kind of Gerry take this together so having those integration services provided as pass solutions as well has been very good and easy for us in addition along with the the Oracle retail packages there's a whole ecosystem of applications that go along with it to make the whole thing work so just having the flexibility of deploying our applications close to where our our retail packages are has been very beneficial to us that's great now you know Larry talked about the benefits of autonomous you know what are some of the reasons you're looking at autonomous and what do you see is the benefits so I think just to pick on you know security that the Larry was speaking about what are the big benefits that we see is to be able to spin up and down lower environments like tests and dev and performance and we can be sure that all of those environments are also patched and secured most of us pretty good at keeping track of our production environments but the lower environments not so much so once you move to this platform we are convinced I mean we'll be assured that all our environments no matter where in the world they spun up are at par with the latest security and and other sort of vulnerabilities in our patch to this fantastic thank you now David welcome you know understanding you again you're creating new ways for really long-standing industries to engage with customers and really drive new revenue growth he began focused on fuel discount rewards and now are changing you know expanding it to multiple industries you know can you tell us about how cloud helped you reimagine your business sure so dropped Inc specializes in gas station loyalty technology and loyalty solutions and it really started with the ability to rollback prices at the pump and I'm sure many people have have done that and the products were very anonymous and so there wasn't a ton of data to actually capture but as the model has evolved we're finding that we can drive a lot of value for our gas station networks by making those networks attractive to existing loyalty programs that want to engage with their members so fuel and c-store typically have over you know one time a week on average people are visiting gas and sea store and so that's a real opportunity for engagement for existing programs whether it's airline or hotel and things like that so as we saw that opportunity we started saying wow this is there's a ton of integration that's gonna happen here yeah how are we gonna do that so it's really it started for us with Oracle integration cloud services that was the starting point about a year and a half ago for us is why we got got into the engineers so you're connecting over 3500 different network locations using integration cloud and can you sort of expand on that you know what led you to Oracle cloud and integration and ultimately autonomous as well no you're a user of that sure so it started about four to five years ago we had about a hundred gas stations that we literally had a black box that we would ship to the station a little black box and you'd plug it into the point-of-sale system and it would connect to us and that's how we transaction we transacted but that's a little difficult to scale we're now about thirty five hundred gas stations that were connected to and there isn't a black box there's just a direct connection to actually the Oracle system that we have today so that was a key part of the integration and then this new soil tea solution we've rolled out for a major oil that's based in the Midwest and southeast called marathon petroleum the program's called make it count and it has multiple partners so we needed to be able to integrate with an app and websites we need to integrate with loyalty processing reward engine we needed to be able to integrate with our partners Southwest and La Quinta and things so that led us to the Oracle integration cloud services and there were a small company thinking about the future of our organization and it's much better to start with a technology infrastructure a platform that doesn't require a room full of DBAs you know nobody wants that we don't want that so we're looking for tools that are gonna allow us to do some amazing things at low cost and very efficiently and so that's that led to it the years grating across all these different point-of-sale environments and with your different partners and form I understand you're gathering us all into the Oracle autonomous data warehouse and then you're driving the analytics and kicking back to your partners trends so they can make more intelligent decisions on future promotions yeah we have to it's it's a loyalty solution it's driven by data without that data you're gonna make very inefficient decisions and be less valuable to your partners for free okay so integration and autonomous working together mark I know you you're a managed service provider focused on hybrid cloud you know one of the reasons we're excited to have me on the panel is you're both a customer as well as a partner and I understand you're primarily focused on moving mission-critical applications and workloads to the cloud can you talk about that yeah absolutely so we've been in business since 2001 we're about 800 people globally and we were really founded to provide 24/7 support primarily in the Oracle ecosystem so we started out with Oracle database and a business suite his Oracle started acquiring companies we have started supporting more and more applications and for us it's important as we started expanding our own business systems we won't also wanted to use the systems that we were supporting so we ran Oracle e-business suite customer we use Oracle business intelligence or the database Oracle middleware and so in our cloud journey as we started to you know to really kind of involve our own offerings we knew that customers needed to have a place that they could go to be able to scale have high performance be secure and for us we knew that we needed to do that first for ourselves so we migrated our own e-business suite environment to Oracle cloud infrastructure and more recently have migrated our Business Intelligence Platform to Oracle's autonomous analytics cloud with an autonomous data warehouse back-end it's great and from what I understand you know since you've deployed it you see no downtime and you've been able to do this with absolutely zero administration is that right well it's funny because I've checked in with the team and I said you know how hard things go and they said it's going fine we haven't we haven't had to do anything with it it's actually just run itself which is a pretty good proof point so for the last two months you know as we've continued to add data add data sources at reports at dashboards systems just run and it continues to respond very quickly so we're getting the dashboard refreshes and report refreshes in in a second or two versus what we were seeing on Prem of four or five seconds and we were on some pretty cutting-edge infrastructure when we were on Prem as well well that's fantastic he tells me a little bit more about your implementation you know from understand you got users today but that's looking to grow by a factor of 10x in a short timeframe yeah like a lot of ERP customers we decided to push our reporting to further in the implementation and so we're a little bit behind and we knew that we needed to scale up pretty quickly so we've got about 30 users on the system right now several hundred gigabytes worth of data and by the middle of next year we're expecting that to be quadruple and ten times the number uses so it was really important for us to be on a system that we really didn't have to be paying attention to we want our resources deployed for our customers yeah not on our internal stuff and for understand - you're using like less horsepower on the autonomous data warehouse cloud but you're still getting a 5x performance increase yeah we're using half of the horsepower in autonomous than we were on Prem it's amazing that's great FS we can come back to you so you know you mentioned how data is important to retail we spoke about that before and into your company and the decisions you make how do you bridge current and historical data with new data that you continue to collect and really combine it so you can get insights into all aspects of your business that's a really good question and a tough problem so we're about 50 years old gap was one of the first and the leaders in e-commerce back in early 2000 so we have a lot of data about our customers about our stores about our products and you know every aspect of our business and they're all unfortunately siloed in various forms of IDI w's and things that we have that we build you know over time over decades so we are working closely with Oracle and Oracle is helping us figure out how we can take all that on-prem data and migrate it into one of your autonomous offerings so that we can bring it all in one place and then we can analyze it and drive you know insights and value out of it so we're really looking forward to Oracle helping us crack that not from a machine you have an active PRC kind today talking about Tara data on Prem and what options Oracle has to move us off that into one of the cloud-based solutions fantastic that's great um it was coming you know can you taught us about business insight since we're sort of on data and analytics I understand that sort of critical to what you do you know what are the benefits you're seeing with respect to Oracle autonomous analytics and cloud sure so it's a loyalty solution so it has to be driven as I said earlier by data and you know it's it's not just the ability to get analytics out of a data warehouse but it's also the the hope of predictive analytics what customer segments are going to respond well to offers based on you know previous promotions or offers and things like that so it's it's about getting the right offers to the right right members at the right time and and of course doing it very efficiently and quickly so that's what Tottenham's really means really means for us when it comes to analytics it's great that's great mark so now you've already seen some great results with respect to both the ease of the reporting as well as the faster time insights you'd mentioned it briefly but can you tell us a little bit more about that I mean the most interesting to me was the fact that we were able to deploy it very very quickly so it was a matter of minutes to get the database deployed in analytics cloud deployed the migration itself only took a couple of days and that was all the planning around it and in the actual execution of it so for us we were able to get what we thought was going to take several weeks to do we went up doing in a few days and that enabled us to really focus on the task of getting our data where we wanted it to be working on the dashboards and the reports you know not having to worry about the infrastructure or storage or anything else you know so aside from the reporting and the time to migration if you built ability to focus on the task at hand we know that we're not gonna have to spend time administering we're not gonna have to spend time worrying about dying downtime for patching worrying about security the security of our data it's all gonna be handled for us you're also seeing the reporting getting completed in seconds versus minutes before solutely and that really encourages user adoption as well when they go in and they have a great user experience you know that's something that's pretty key for us great mm can we shift real quick to a business continuity you want to come back to you as well Connie you know this is really important you know and especially how you deal with mission-critical applications for your companies like how does autonomous cloud help you address sort of the uptime and the business continuity well I think one of the biggest things that we deal with especially the amount of ERP work that we do is making sure that customers have a solution that they don't need to worry about if something happens to the data center or happens to the network or something that there's an automatic solution for them to have deployed that they'll that they'll get the level of uptime that they need that's great so Connie I know we've talked before about the importance of performance and scalability it's critical to everything you do especially with the sheer volume of businesses you support and these really tight SLA is you need a meet for the business you need can you tell us how the machine learning and autonomous can really help you address that yeah I think for our enterprise we actually operate over 3,000 stores 90 countries hundreds of franchisees we do move a lot of data through our through our enterprise from the time that we're building and bringing goods into our data warehouse our warehouses and the time that we're selling so there's a lot of movement of information that we have to process through all of our applications and so we have to do that on a timely basis so that we're able to provide that information to our business to make really relevant citizens in terms of how they manage that and then of course downstream and reporting and results and things of that nature so the SLA is that we have to run across the platforms are really tight to be able to process and be able to get that information out to the business partners around the globe the notion of being able to do that quickly with performance and being able to manage that with autonomous if we you know gets that we do work on exadata we're starting to move onto exudative platforms is really crucial to be able to optimize that capacity and that when do we have to process that data and of course it fluctuates in terms of what's happening you know peak season for retailers through the holiday season's data biomes increase so we have to manage to those workloads so being able to have something that can be extendable and extensible to that level would be really terrific for us and prior to autonomous database you just have to build that all yourself to the maximum right - to the peak performance that's great can even understand you know scale bill is pretty critical to your business as well particularly loyalty rewards and can you tell us about how autonomous database enables that scale you got some specific examples yeah sure it's similar what Connie was saying you know it cuts a couple of different ways first of all you know it's a new program the network's growing membership is growing so we expect transaction volume to be 50x what it is today you know in into next year and so you know and there's a there's a wide range is it 30 X is 100 X so you don't know exactly what to build two autonomous helps with that we don't have to worry about it we can focus on the business and getting to that 50 X that's one thing second thing is the nature of our business there are promotions and campaigns and some of them are very time boxed so a funny example of that is we have a great relationship with with the airline partner they're supportive of the program and they decided to send an email introducing the program to millions over there members and they sent I forget how many millions of emails in about 15 minutes and so I heard we heard we got some notice some advance notice that was good but I was actually on a plane I had Wi-Fi and I was able to watch people move from the welcome page enrollment and then started seeing a bunch of api's getting hit for enrollments into the program and saw numbers you know move very quickly and it handled it smoothly we were worried about it but it gave us a lot of confidence that if we can handle that we can handle a lot so anyway those are the time itself de natal they're exact great so there's another really critical part that Larry talked about with respect to the self patching FS want to talk to you about that and sort of that key category attribute you know with gap you know with respect to self patching you know how does this sort of technology help your team sort of dressing you know staying on the latest current Rev sort of protecting your environment how do you view self patching so i think that ii went through all the benefits of self patching and and auto updating and all the other smarts that that article is putting in into your database offerings so I'd like to address perhaps a slightly different point one reason we really appreciate Oracle's partnership in these kind of programs is that Oracle is not just selling us this technology and saying now your DBS can go to higher level things and good luck training them and we'll see you next year but yeah but Oracle really has been a partner with us in helping us define what sort of education programs we need to upscale our workforce what are some of the other transformation things that we need to put in place to take the same people who were doing the necessary but now mundane work of you know OS patching security patching and all of that stuff how do we take them how do we transform them how to be upscale them so that they stay with us because they know our business inside out they know how our company operates there's extremely valuable members of our community so we really do have to keep them and obscure them and Oracle's been and create partner so it's helping eto what that change management internally as well it's people process tools right yeah you know Blair Ito talked about the technology portion but until you take care of the people in the processes I believe you can't really take advantage of all that all that the technology is offering these few times economy talked about self patching but Larry it also taught to self driving self tuning self administration you know how do you sort of see the benefits of that and what you guys are trying to accomplish yeah that is always been a challenge for us right every time we try to enable new capabilities or a patch or try to upgrade any of the application set our teams always spend an enormous amount of time having to go back and do that kind of performance tuning it's exactly what Larry was talking about making sure those queries and those plans are executing at the highest performance and so over time that just becomes bigger and bigger workloads for our teams and we can end up spending days and weeks trying to get to those performance levels that we've already had or trying to exceed them so being able to have a database on autonomous database that actually does that intuitively and innately will take a lot of that work load off our teams and just be a tremendous amount of opportunity for us to repurpose those resources on the things that would be of higher quality and value for us it's great it's great you know mark did to that end and I think picking up on Deficit talked about sort of the changing role of the DBA I understand you employ hundreds of DBA is in your company how do you see their role changing what the Tommen is it's interesting we as a company have had a strategy for the last six or seven years that we wanted to move up the stack so we started offering a lot more functional services and development services Enterprise Architecture and you know we're expecting that our staff is going to follow suit so you know there's there's an opportunity to get more involved in data architecture and data integration cloud engineering and things like that that I think are really gonna keep things interesting for the folks you have those positions now that's great that's great Dana probably the last last question for you you know do a lot of transaction processing in your world you know Larry talked about ATP how do you see the business benefits of this new autonomous service offering yeah it's a continuation of the relationship with Oracle it actually couldn't have come at a better time it's interesting I agreed to participate in this before I really understood what the transaction processing piece was we're already planning to move our transaction processing off Rackspace into the Oracle cloud my assumption is we're going to give this very hard look transaction processing at the end of the day is the it's the lifeblood of our of our business it's great FS I know you rely on high-performance transaction processing as well you know what's your reaction to the new announcement that Larry did for us earlier so we will you know we'll also be taking a very hard look at this we are already as Connie was saying exploring Exeter and some other options on the Oracle cloud as it is so we'll just continue that down that journey with article and looking forward to good things to come great Thank You Connie last question for you I know that expansion on the digital front to sort of pair them out to what's on your mind but at the same time physical store still are very important it's about the right size the right product mix you're engaging in a social context with customers can you tell us about the future of retail and how you view Oracle helping to enable that yeah you know would always be about getting the right product onto our websites and into our stores but the idea is how do we maximize that and and leverage that to the fullest capabilities and as I mentioned things are changing in terms of how we engage with our customers there's heightened expectation levels in terms of you know how we how we work together and how we spend time together there's things that we try to do that will help us engage with them in a deeper level such as offering classes in our stores we do things like that we offer monogramming services personalization in terms of styling things of that nature so they become more and more important in terms of retailing and it's more about that engagement with our customer on that as I talked to about that seamless engagement so we're looking to optimize our platform so that we're taking some of those resources and rather than having to do those tasks that we've had to do in the past we're able to leverage those those teams and those resources to enable more these capabilities on simplified and resilient and platforms that we want to continue to build out on and accelerate that right it's great thank you so much thank you all for for joining us can you help me paint the panel it's always it's always great to hear from them directly and I think what we're seeing is you know you know autonomous database and Oracle cloud or help them drive real outcomes you know for both businesses and people and that's really important as we move forward on this path to cloud and again you know for us you know again providing a simple path to enabling customers and all these emerging technologies is something that's really important to us so again for our existing customers that path to autonomous can be as simple as an upgrade and again for new customers it's about a new platform that's an innovation platform that really spans all layers of cloud you know then once you're on that path autonomous opens up a world of possibilities you can move from operations to innovation that's what you just talked about we can find new and better ways to develop develop and deliver apps and services and real differentiated experiences we can see the signals and predict outcomes we talked about our predictive approach not only just getting questions - - answers you ask but getting questions - answers the answers to questions you didn't even think to ask and I think that's sort of the power of what we're talking about here we can run our organization smarter faster or more securely with scale and ultimately we can reduce costs while at the same time reducing risk that is what autonomous provides so we and then well I just say you know what today we talked about these incredibly important milestones around autonomous database but we've also announced several other autonomous services at the mobility blockchain integration analytics security management I see some of the team in the room sidarthur give you a shout out what's going on yeah and we have more coming as well we're dedicated to this entire platform category and making it autonomous and I encourage all of you who are tuning in or here with us today go start today you can learn more at Oracle comm slash autonomous database you could try it as Larry had said we have a great trial right now two terabytes of autonomous database free for 3,300 hours go check that out and you can calculate the possible savings as well I'd also encourage you when larrya talked about it we'll have more to announce at open world we hope you'll all join us there we'll have over 2000 expert-led sessions on the possibilities with respect to autonomous and we're gonna hear from many additional customers on the benefits they're seeing moving to oracle autonomous cloud and hope you guys will be able to join us there as well so that's it I really want to thank you for your time today you know I think when you think about the transition to a modern cloud you know what do you think about the future of data management and you think about Oracle think autonomous thank you so much have a great day [Applause] [Music]

Channel: Oracle

Views: 12,429

Keywords: self-driving, machine learning, autonomous database, marc caruso, oltp, drop tank, gap inc, oracle autonomous database, oracle autonomous transaction processing, self-securing, panel, ai, 30646829, larry ellison, autonomous, lje, david vanwiggeren, retire-2018, transaction processing, connie santilli, artificial intelligence, database, steve daheb, keynotes and presentations, autonomous transaction processing, gap, fakir (f.s.) nooruddin, self-repairing, data intensity, ellison

Id: MrlEIlEj2iw

Length: 91min 24sec (5484 seconds)

Published: Wed Aug 08 2018