iPaaS: What it is, Why It Matters and When You Need It

hello my name is Mark Carter I lead a mere marketing here at snap logic and welcome to this snap logic sponsored webinar iPad what it is why it matters and when you need it just before we start a little housekeeping and attendees are on muted so if you only do want to ask any questions please use the questions or chat facility in the GoToWebinar control panel which you'll probably see on the right-hand side of your screen we'll get to answer as many questions as we can at the end of this session we have when we have a Q&A period if we don't have time to get through to everyone please send your questions in to Amir - info at snap logic comm with Cee male in the top right hand corner is hand corner there if you have anything or if you think of anything after the session you'd like to raise again if you want a copy of the presentation please email to the same email address there otherwise I would like to introduce you to Mike Ferguson and you can see his picture there Mike's an independent analyst and consultant he specializes in business intelligence analytics data management big data and enterprise architecture Mike's over 35 years of IT experience he speaks events all over the world as with numerous articles as well as teaching popular master classes Mike a managing director of intelligent business strategy and formerly a chief allocated teradata and European managing director at database associates so without any more ado and I will now pass you over to Mike Ferguson Mike over to you many thanks mark good morning good afternoon good evening iran online methods taking time out to to come on to this webinar this morning so i want to talk to you about a pass which might be a term you're familiar with or may not but it's very very relevant obviously moving forward in the context of hybrid computing so it's just a little bit about my background if if you want to know more about me as Mark already said he's covered most of that anyway if you want to tweet that's my twitter address so what I want to talk to you about visualization and digital transformation and why that impacting operational analytical systems and what that's doing to complexity in terms of being able to integrate data and applications in a hybrid computing environment then having built up that challenge if you like I'm going to look at I pass and what it is and why we need it in order to help with this kind of environment and talk to you about a number of use cases that you could make use of it for before wrapping up so everywhere I looked many days it's visualization going on programs of kicked off in lots of organizations now to move organizations to adopt digital technologies in order to change the way they operate in order to gain new insights that can hopefully drive down costs and increase revenues to give you a wider profit margins and therefore greater business value and digital transformation seems to be happening in a hybrid computing environment that is to say built on top of both on-premises infrastructure behind the firewall and on multiple clouds out there so which are mentioned here such as summers on AWS Google's cloud platform Microsoft Azure and IBM bluemix and the very least most digital transformation programs will involve transformation of operational systems and transformation of analytical systems and closing the loop between the two in order to be able to leverage insights and analytics within operational business processes in order to maximize the value of the entice produce so if I look at any organization such as as a front office sells marketing service back office of finance HR procurement supply chain some kind of business operation with producing products or services digitalization or digital transformation is it is appearing in a number of ways first of all mobile the ability to have mobile interfaces to transaction processing systems secondly social that is to say the ability to gain access to front office and back office people through and collaborate if you like with customers and suppliers and partners through social networks and on social accounts that corporations have these days third is cloud where we're seeing more and more applications moving to the cloud and then fourth is business the business process integration to join up business processes across organizations to speed up an automate business the business process integration in order to be able to reduce costs and deliver deliver more value or more efficiencies and of course also the emergence of things Internet of Things one of those things are deployed inside the enterprise in terms of center networks or whether those things are smart products with sensors built into them that can emit data that can be captured and later analyzed if we look at operational systems for the moment on the key requirements increasingly now is to parallel business processes to work across applications that are in the cloud and on-premises and it could be dealing with multiple clouds so data could applications could be in one particular cloud system in your front office maybe Salesforce for example and it could be in a different cloud in a back office maybe next week for example there and yet the process has to be able to work smoothly between cloud and on-premises applications bouncing in and out of of those systems as far as process executes and so what that requires therefore is poses an application integration to work across a hybrid environment of multiple clouds on on-premise applications similarly B business the business I already mentioned same thing we want the ability for transactions to be initiated in for example our customers that can electronically arrive into our applications whether our applications are on the cloud or on-premises of both and then be processed and so it could be that the transaction is initiated from a customer or partner on the cloud itself and then coming to our on cloud or on-premise systems for the point being is that we want that to be an integration and so it's not just about process and application integration within the enterprise we want the ability to be able to publish API is managed API is and be able to expose those to be able to facilitate business-to-business integration in this kind of environment and so therefore we have a number requirements here we have to be able to have API is to be able to publish those api's and manage them in such a way that we can govern who's accessing them control authorized access to them control how many concurrent users can access those API is to be able to control data movement between cloud-based and on-premises based applications and to be able to synchronize core data like master data for example across all of those applications to keep those kind of processes running in I of the computing environment keep them running smoothly in addition on the analytical side we're now in a world of cloud-based BI and so we can a cloud and on-premise data source is being integrated to populate data warehouses and also to bring data you know into cloud-based BI systems that are out there whereas we alone aware of those are some of the examples mentioned here of cloud base bi providers but we're still in a hybrid world there but it's more than that in the analytical world we're now seeing new data arriving in the enterprise centers for example within the enterprise may be to monitor production lines to monitor distribution chains supply chains in order to be able to you give us operational insight as to what's happening is good smooth for example or production we use down down a line to it to monitor any any any issues there in addition we're bringing in new volumes of different varieties of data from outside the enterprise to understand more about our customers what they're saying for example about our products and brands on social networks we want to find out about additional attributes about customers that are in social networks such as LinkedIn for example which would give you information about professional careers of our customers and so give us new attributes we may also learn about new relationships on social networks there's also new data coming in from things into know things and so high volume data I'm very fast data data coming in very very high velocity that needs to be captured and all of that result being generated a lot of it's being generated from the fact that digital channels have been added to the traditional bricks-and-mortar and contact center kind of channels that we've seen out there sometimes these new channels that are really driving or generating big data that's that that's changing the analytical landscape from a distillation perspective so we've gone way beyond data warehousing into multiple different analytical systems such as stream processing systems we've got big data systems we've got traditional data warehousing and whatnot but all kinds of our core workloads running across that ecosystem and a lot of that today is also available on the cloud it's not just something that we could do on premises we could take that those scalable big data platforms or scalable data warehouses and and develop and build them on the cloud today and so for example if I just look at a big data environment for a difference part you can see several vendors their Amazon Google IBM Microsoft Office and p2 are all offering doop on a cloud similarly on relational analytical databases a range of offerings available to build data warehouses in a cloud computing environment and so what's happening in this analytical environment is data is moving in all kinds of directions it's not just building data warehouses anymore or master data management systems we've got data coming in out of big system big data systems they're going from there to the data warehouses and back wheel away their data go ahead and use just no sequel databases and and of course some of these can be on a cloud and so we need to cater for that and a hybrid computing environment and we're also trying to close the loop where if some of your operational systems are in the cloud and on-premises and some of your analytical systems are on the cloud and on-premises and we want to close the loop to be able to drive new insights that we produce around them let's go well into our cloud and on-premise operational systems and we want to capture data from those operational systems to bring it into on-premises and cloud-based analytical environments and so we need to be able to deal with this hybrid computing environment and so there's all of this complexity we're seeing a need for multiple patterns to be supported one is on-premises - on-premises application integration and data integration - is cloud on-premises 3 is cloud the cloud four is on premises to cloud and also we want the ability to have devices mobile access to both on-premise systems and cloud-based systems and we want the capturing of Internet of Things data to be captured either on-premises or in the cloud of both and so we've got a bit of a challenge here to be able to support this kind of different patterns if you like in a hybrid computing environment which brings me to what I pass what's integration platform as-a-service so what I pass is is is software to be running in the cloud that has the ability to support these patterns now I've got a dotted line here on on premises two on premises which bypass is able to support as well so but we have the ability to be able to be application integration and data integration from a cloud-based environment and be able to handle those combination of patterns that I mentioned a moment ago the benefits of a paths are pretty clear first of all it's not just for IT professionals this is a self-service environment it gives us the ability to just point your browser to a cloud-based integration platform of this platform and that's up there and be able to use it for self-service data integration and for application integration whether those cloud to cloud clouds are on-premises on-premises to cloud or on-premise on premises for that reason it's relatively quick enough low cost to get up and running on it increasingly now more and more of the business units they speak to have their own budgets and therefore have the ability to potentially go out and use this kind of service without necessarily the need for IT because we these services are designed for self-service not just for IT professionals and without the need to download any software they can also get a cloud and on-premises data sources without needing to know how to connect to various specific clouds like Google or Amazon Cloud or Microsoft or IBM's cloud or without needing to know how to connect to specific cloud-based applications as connectors other for you you can even integrate data behind the firewall those leave it inside the enterprise but develop the integrations on the cloud and so we're getting improved productivity with ease of use these software products do they also even recommend and try and simplify this process to make integration much more easy for business professionals as I said we can already use it for both data and application integration and even comply with things like TDP are in the European Union to protect data as it moves between cloud and on-premises systems or the other way round so really an iPad platform gives you the ability to manage and govern application integration and data integration across cloud and on-premises systems that means it supports cloud-based connectors application connectors it supports different protocols and needed across those different applications it can support multiple API to the different cloud platforms as I mentioned earlier allows you to publish and manage those api's who's got access to them to control all allow from a security perspective to audit what's going on and monitor the use of those api's from an application perspective it also gives you from a data integration perspective the ability to connect streaming and data cloud and on-premises data stores the ability to build data integration jobs and cleansing jobs a self-service capacity and handle it all across multiple clouds and on-premise systems even being able to handle scaleable big data integration on big data platforms so with cloud and on-premises systems a reality today we've got the ability to bring data from operational systems in on-premise into the cloud either for passing data to other operational applications or to supply cloud-based bi go the other way bring in cloud-based data into the enterprise for processes to continue executing on transaction systems inside the firewall and supply on-premises based data warehouses so if you like we're bridging the gap there and of course there are other software technologies out though that will allow us to look across these systems and produce reports and dashboards for example so popular use cases for iPads if I first start with the operational application integration we can handle the integration of applications and processes across one or multiple clouds and on-premises systems so I pass can publish api's can handle connectivity to operational and on-premises applications allows us to secure those connections and be able to even plug into ESB education service bus technology if you've got that inside the enterprise but handle the transition from there to cloud-based applications and back the other way into business processes can be constructed that work across both cloud cloud and on-premise applications including multiple clouds in a single business process we can also through iPads handle business of business through published business business process integration again through published AP is managing that I'm dealing with security across the those environments are also dealing with translation of data as it flows between businesses to be able to cater for those those needs also we have the ability with respect to supporting systems that we need to do if we want to migrate view on migrate cells Wachtel on premises systems we can run data integration inside the fire behind the firewall even though you've developed it on the cloud and then integrate the data in on premises before pushing it out and bringing it out to populate databases in cloud based applications I can go the other way I can bring data from multiple cloud-based applications integrate it and supply that data to on-premise operational systems and so handle app capability in addition of some of those applications have got special ways in which the query special proprietary languages to query them like Salesforce has for example you can hide all of that don't have to worry about that I can take care of that with I pass application integration connectors to those systems that will handle the interfaces for me and then provide the data I need so that I can pass that on into operational systems inside the flower with respect to BI systems we also have the ability as I mentioned to have cloud-based BI systems and so some of those VI providers like good data for example support it's not logic which of course is and I passed vendor that during this webinar today I can also go and get cloud-based data from there along parameters data from there integrate both of those data sources to be able to supply data to the cloud another push it or pull it by depending on where on the process is from so I pass systems allow us to bring together on-premises and cloud-based data sources integrate the data on the fly to populate things like cloud based data warehouses and cloud-based data Mart's - if we're running our answer bi and data warehousing environment in a cloud provider on one of those analytical databases that we saw earlier similarly it's possible for me to design data integration jobs on the cloud that combine data from cloud based operational systems and on-premises operational system but we can integrate the on-premises data behind the firewall before pushing it out into a cloud environment to populate a base bi system I can go the other way as well if I applied beta sources I can develop ETL jobs using an iPad system that can run inside the firewall and so we're doing cloud development but on-premises execution in order to bring together on-premises and cloud-based data sources integrate that data and populate an on-premises data warehouse and I can also cater for multiple clouds in a single job to be able to bring data from was a popular operational cloud-based applications like Salesforce like workday like service now and that's we where we can integrate that data and then run integrations with other on-premises operational systems to populate a data warehouse inside the flower all of which can be controlled by an i-5 system if those systems as I said have multiple or they all do have lots of different data structures in there I can create multiple different services that associated with specific kind of data within those applications in multiple clouds and then what join them all up and run a multiple specific kinds of data from these packaged cloud-based applications to bring inside the firewall for integration with on-premises data as well and that simplifies things allows us to reuse things rather than reinvent them again and again also we can cater for big data platforms looking at both clouds and on-premises data whether it's structured or whether it's semi structured like json or xml data or whether it's unstructured data or even cater for Internet of Things which is streaming data and so support scalable streaming platforms like Kafka to handle message partitioning at scale and to be able to run data integration jobs and process this data at scale on big data platforms on the cloud or indeed on-premises can do it either way in order to prepare data and degrade data for use by data science projects or by myself so SBI tool is going to come in through something like a hive tables into the Hadoop environment I just does not provide master data management per se but it does give you the ability again to treat that as a target system and say well I can populate cloud and on-premises data from various data sources on multiple clouds and if necessary and integrate that data and populate a master data management system equally I can take data from a cloud-based management data master data management system and do outbound synchronization and control out with a high pass environment so I can use it to capture changes from cloud-based operational systems and bring it into an on-premises MDM system I can use it to take changes from one on on-premises MDM system and push them out to cloud-based applications that need to be synchronized with master data so that we are able to support this kind of scenario where you can see the ability for say cloud or on-premises base master data management and we can control synchronization of consistent master data to all the applications in a process whether their applications that reside in a cloud itself or across multiple clouds or whether they are applique Asians that are on premises or both and so handle this hybrid requirement that's increasingly part of our everyday business operations so to kind of wrap up then you know we've got the ability you know we have a number of requirements here we need to be able to integrate business processes and applications to allow our operations to continue to work across multiple clouds and on-premise systems we have support multiple api's for that we need application specific connects for that we need protocols we have to manage security similarly we have to be able to manage data across public cloud and on-premises systems and do it seamlessly and easily to integrate data to manage the semantics with common data definitions to be able to understand how the meaning of data is flowing to handle data quality and integrity to handle sensitive data across that hybrid environment and even to control access to the data as well we've got to be able to visit integrate that data rather to consolidate it synchronize it for example we sell both of those as an example we need to be able to quickly load data and get into these cloud-based applications handle migrations to them and facilitate automation and business of business integration of business processes as well as it not just business the business process integration but also internal if you like that within your enterprise process integration across cloud and on-premises systems so that kind of gives you an idea of the extent of what the requirement is and without a doubt if you look at a path integration platform of the service systems they play a major role in meeting those needs so I hope that's given me some idea as to what I pass can do for you so with that I'd just like to say thank you and pass you back to mark thank you Mike that is really great and informative and for those who are sitting there wondering who are snapped logic and why are they sponsoring the WYD webinar on iPads here's a quick overview and snap logic is a no code self-service cloud-based single solution for apps data and IOT our founder and CEO is group Dylan who also co-founded informatica and you can see in there in the bottom right hand corner with a global presence in the London office we have a number of well-known high-profile customers from every sector including Capital One ADP Adobe AstraZeneca Vodafone et cetera you can see me see the names there with well capitalized as you can see with top tier backers including the UK venture capitalists pentru vien and according to Gartner by 2019 iPads will be the integration platform of choice for new integration projects which is great as snapped logic and on that is the leader in this quadrant for the MQ quadrant for the second year running in the 27:17 edition of the Gartner MQ you can find more about sack logic and our no code integration solution including the recent AI machine learning innovation at snap logic comm there is I won't be conscious of time but I know we did start late and there have been a couple of questions in I think there is what we've got time for just one and Mike this is probably one for you and wooden iPads platform replace on premise message brokers Mike okay thanks for that no not necessarily what it would do is integrate with them though and to be able to take take messages from those systems and process them to join them up with other other businesses applications in the business to business process integration initiative or your own cloud-based application and so therefore you could integrate integrate with them that's great as I said um if you have there are a number of questions actually lined up but I want to be respectful of your time so what we'll do is we will answer those directly on a one-to-one basis after the end of this session as I said this this session is being recorded and they so you'll be able to view it down or download it to watch on-demand and alternatively if you'd like a copy of the deck itself please email me at Amir - info at that logic calm as you can see at the bottom of the page there otherwise I'd like to say thank you to Mike Ferguson thank you for your time this morning and it can be anymore please let me know thank you next part thank you

Channel: SnapLogic

Views: 8,909

Keywords: cloud integration, big data integration, SaaS integration, iPaaS

Id: vSLQIwqJMH4

Length: 32min 8sec (1928 seconds)

Published: Wed May 17 2017