Posts Tagged 'data integration'

Unfinished Business: Gaurav Dhillon Introduces @SnapLogic Integration Cloud

Gaurav Dhillon co-founded Informatica in 1992 and ran the company until 2004. In 2006 he co-founded SnapLogic, a data integration start-up in San Mateo, California. In 2010 he took over as the company’s Chairman and CEO and re-focused the company on tackling the emerging cloud data and application integration challenge in the enterprise.

Today SnapLogic introduced the SnapLogic Integration Cloud, with a focus on three key areas:

You can read more about the Winter 2014 release of the multi-tenant integration platform as a service (iPaaS) here. Here’s a video of Gaurav introducing the company out summarizing the importance of the right approach to cloud data and application integration in the API economy. He’s also presenting on that topic on a GigaOM webinar with David Linthicum later this week.

Presentation: Cloud Integration for the Hybrid IT Enterprise

I recently delivered a presentation for an online conference called Cloud-Con, which focused on Cloud Integration and Web API Management. My session introduced Informatica’s new virtual data machine called Vibe, reviewed the primary cloud integration and data management challenges and introduced Informatica Cloud. I also touched upon the concepts of Lean Integration outlined ways to consider establishing an integration competency center (ICC). Here is the presentation with the embedded video.

Putting Information Potential To Work

Great video outlining the importance of data integration. Are you putting potential to work?

Salesforce Customers are Asking for Big Data Management #DF12

Two things stuck out for me at Dreamforce 2012:

  1. What an amazing ecosystem Salesforce has built. The Cloud expo was packed with high-quality booths and there were over 3000 people at the partner keynote! Congratulations to the partner success team and kudos on the newly designed Appexchange.
  2. How important cloud integration / enterprise connectivity has become to Salesforce customers, partners and prospects. These two slides from that same partner keynote say it all:

When it comes to the back-office, Big Data Management apps top the list of Salesforce customer requirements. Oh, and by the way, all new cloud applications must connect across the business.

Today two post-Dreamforce 2012 articles caught my attention that address the need for cloud integration head on. In his post – Plumbing the Salesforce Clouds is Your Business, Mark Smith from Ventana Research notes:

“The challenges your organization faces with data are getting larger, and the financial benefits of data in the cloud, such as reduced TCO and reduced implementation fees, are substantive. Too much time and too many resources are wasted in manual approaches where data is transitioned inconsistently and incorrectly. Automation helps organizations rationalize their overall information management efforts.”

Joshua Greenbaum at Enterprise Applications Consulting has this to say his his article, Salesforce.com, Enterprise Platforms, and the End of the End of Software:

“And the tools are there, or on the way. Hence the refrigerator pitch, though it was interestingly devoid of details on just how easy it will be to build an integration framework that could tie together a Pandora-like pure cloud environment or a more common hybrid cloud/on-premise environment. But heck, that’s really hard. It took SAP years to get NetWeaver out of slideware mode and into simple and easy to implement mode, despite all their efforts. So I don’t expect Saleforce.com to settle this issue in just one Dreamforce. It will take a while, no doubt.”

I’ll write about the Informatica Cloud integration and MDM session later this week on the Perspective blog. In the meantime, I’ve embedded the slides below so you can see for yourself how three enterprise organizations have taken advantage of data integration, data quality and master data management technology to drive overall Salesforce adoption and success. It’s Big Cloud Data Management in action!

Cloud Integration vs. SaaS Integration vs. Salesforce Integration

I did a quick comparison on Google Insights on a few keywords I track and thought I’d share the results. A few observations:

  • “Salesforce Integration” was first out of the gate in May 2006. This is roughly when AppExchange was first launched.
  • “SaaS Integration” entered into the vernacular in 2008. About the same time the term “on-demand” died I suspect. SaaS integration hasn’t done so well as a term, however. I put in SaaS application integration and it only made matters worse. This was a bit of a surprise I must admit.
  • “Cloud Integration” made a dent in October 2008 and has been on a steady climb ever since.

 

Google Trends has similar results. But when you go to Dice.com it’s a bit of a different story. There are:

But back to the keywords. I put in the terms “Data Integration” and “Application Integration to compare and they’re an order of magnitude greater than all three, albeit with a much longer history. Of note, however, is that the trend line for both of these more mature terms was on the decline for a few years but now seems to have leveled off somewhat.

Informatica Cloud Integration Customer Success

Not too long ago I posted an interview on the Informatica Perspectives blog with Bryan Plaster, who runs the company’s customer success team for cloud integration. The results of the program are reflected in the number of positive reviews Informatica Cloud has received on the Salesforce AppExchange as well as the continued cloud data integration growth that is reflected on the trust site – Trust.InformaticaCloud.com.

Here is a YouTube Playlist of some of the customer videos on the Informatica Cloud YouTube Channel. You can also check out more videos on the Informatica Cloud video channel, which includes many customer anecdotes from different presentations as well as online training.

Informatica Cloud logo

Related articles

Salesforce Integration in Manufacturing: Getting Sales and Operations on the Same Page

I hosted a webinar this week with a CRM developer, Salesforce.com-focused systems integrator and cloud integration expert who provided a demonstration of Informatica Cloud. The focus of the discussion was the importance of data integration to CRM adoption and success in manufacturing. Here is the recording and the slides.

Informatica World 2012: Return on Big Data

I’m spending the week at Informatica’s annual user conference in Vegas. The focus of the event is the new Informatica 9.5 release and the overall theme of Big Data and the Return on Data. The tweet stream is quite active – you can follow the conference at #IW2012.

Here’s the opening video from Informatica World. You might also find the Infographic interesting - Big Data, Big Returns.

2012 Cloud Data Integration Trends

Ok, there’s a lot I know I missed (usage-based integration services and the role of a vibrant Marketplace come to mind), but here is my set of 2012 cloud data integration predictions:

  1. Get Ready for Data as as a Service
  2. True Cloud MDM will Emerge
  3. Analytics as a Service is Ready for Prime Time
  4. Enterprise PaaS Adoption Leads to Integration Platform as a Service
  5. IT as a Service: The Conversation Continues

You can read the complete post on the Informatica Perspectives blog.

I’d love to hear any feedback and input you might have on the topic. We discussed some of these and other trends in a webinar today with Jeff Kaplan from THINKstrategies: Doing Data Right in the Cloud – How the Best Companies are Getting it Done. Here’s the recording on YouTube:

Build Your Own Integration – Don’t Be Dumb!

Image representing ebizQ as depicted in CrunchBase

Image via CrunchBase

Recently Hollis Tibbetts has been writing extensively about all aspects of data integration (with a heavy does of cloud) on ebizQ. His most recent post pulls no punches:  Building Integration Yourself – Possibly the Dumbest Idea You’ve Had in a Long Time.

The article wraps up with a series of questions to consider before you jump into the “tarpit” of hand-coding your data integration. I suggest you pose these questions to anyone in your IT organization who tells you they’re “just going to write some scripts” or “simply develop Web  Services” when it comes to cloud integration:

1)  In the SaaS world, APIs are updated on average 4-12 times a year. What is the impact of that on your custom code? What if a document format (e.g. and EDI document) changes? Will you even know in advance of these changes, or will the change happen and suddenly your system stops working and you have a crisis on your hands?

2)  Are you prepared to handle latency and unavailability issues, timeouts, etc.?

3)  Have you budgeted for building a sufficiently robust logging system for errors, as well as for when data ends up somewhere it shouldn’t and you need to undo the situation?

4)  Can you guarantee that data won’t get lost when something “bad” happens?

5)  How will you monitor what’s going on in the system?

6)  Coding transformations and business logic in Java, C#, C++ or any other programming language is very time consuming. Transformations and business logic change a LOT. How will you support that? Most integration products support simple or standard scripting languages, drag and drop, reusable objects, etc.

7)  How do you plan to implement mapping – especially between something like a Web Service and a Relational Database (where one can be hierarchical in nature and the other a collection of tables). What happens when one of those things changes? Have you thought about transactionality and serializability? Do you need to support that?  How will you do it?

8)  Many applications require the use of proprietary SDKs for integration. Are you trained in those? Prepared to support changes in the SDKs?

9)  What levels of performance are required? How do you plan to meet those? What happens if that changes – is scalability built into your solution?

10)  If more sources or targets for integration are added, will your system support that, or did you build something that is a throwaway?

11)  Does your home-built system support concurrent development?

Great questions Hollis and a great article. I hope everyone considering hand-coding their data integration reads and shares it.


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