Tag Archives: Cloud Data Integration

Informatica Cloud Wins Best Cloud Management CODiE Award

I spent last week at the annual SIIA All About the Cloud Conference in San Francisco. The Software & Information Industry Association (SIIA) “is the principal trade association for the software and digital content industries.” They are also the organization that gives out the annual CODiE Awards, “the industry’s only peer‐review awards program, acknowledge innovation and excellence for products and services in the business software, digital content and education technology industries.”

I’m pleased to be able to say that Informatica Cloud has been recognized this year as the “Best Cloud Management Solution.”


Posted in Business/IT Collaboration, Cloud Computing, Data Migration, Data Synchronization, Marketplace, News & Announcements, PaaS, SaaS | Tagged , , , , , , , , , , , | Leave a comment

Cloud Integration Predictions in Review

As is the custom, before I dive into my predictions for next year, I thought I’d look back and see how I did with my 2010 cloud integration predictions. Last year I predicted that:

1)  There will be an increased need for best-of-breed cloud data integration solutions. I also predicted that we’d see an emergence of online marketplaces that allow you to purchase prepackaged integration services.

Results: In Loraine Lawson’s recent Data Integration predictions post, she noted, “this year, integration seems to have shifted from a liability to an asset for the cloud.” Another publication referred to cloud integration as, “the capability that will drive mainstream Cloud adoption.” Clearly the importance of data integration to cloud computing success has been recognized. I believe 2010 was the year we crossed the chasm.

Bring on the tornado!
Posted in Business/IT Collaboration, CIO, Cloud Computing, Integration Competency Centers, PaaS, SaaS | Tagged , , , , , , , , | 1 Comment

Adopting Cloud Applications: Evaluating TCO

Last week I sat down with Scott Geffre, IT Director at Informatica, to learn more about our internal implementation of salesforce.com and our approach to cloud integration. It’s a topic that will also be featured in a number of Informatica World 2010 sessions in November, but as part of this cloud integration best practices interview series, I wanted to share the discussion here. Scott is focused on managing CRM applications at Informatica and has been with the company for over five years. Here is part one of our discussion: evaluating SaaS/Cloud TCO. (more…)
Posted in Business/IT Collaboration, CIO, Cloud Computing, PaaS, SaaS | Tagged , , , , , , , , , , , | 1 Comment

Introducing Informatica Cloud 9 – The Defining Capability For Cloud Computing

Informatica 9 Today we made an announcement called Informatica Cloud 9.  This is the culmination of many years of hard work and effort and builds on the Informatica 9 announcement we made last week.  So what is so special about Informatica Cloud 9?  Is it the new Platform-as-a-Service offering?  Or it is the new Cloud Services we delivered?  Or is it the new capabilities on Amazon EC2?  What are all these things and why are they important?

Let me explain: (more…)

Posted in Data Integration | Tagged , , , | Leave a comment

Informatica On Amazon EC2 – Why?

Last week we made a significant announcement relating to the availability of our flagship product “PowerCenter” on the Amazon EC2 infrastructure. Why?

The answer lies in the profound advancements that are happening in the area of “cloud infrastructure.”   For many years we have talked about running applications “on-premise” and “on-demand.”  Companies like Salesforce.com have pioneered the delivery of applications on their own infrastructure and we’ve become very familiar with the concept of software-as-a-service.  So where has Amazon come from? (more…)

Posted in Cloud Computing, Customers, Data Integration, News & Announcements | Tagged , , , , , , , | 6 Comments

20 Years Old: The Web, Social Media And Our Reliance On “Data”

I was reading an article from CNET last week about the web.  The title was “It was 20 years ago today:  the web“.  The crux of the article was to discuss the impact of that famous research report authored by Tim Berners-Lee called “Information Management:  A proposal”.

What amazes me is how far we have come…

Today the web is everywhere.  It has made the world flat – something that ancient civilizations believed, but something now being delivered electronically through the ether.  Combine that with the improvements in telecommunications and we have a world in which data is king.

It is the lifeblood of every organization and is pumped across networks, through supply chains and between organizations.  Data rules, it is all-powering, it is the currency of the 21st century, and it is the web that has released it to grow to it’s full potential.


Posted in Data Integration | Tagged , , | Leave a comment

Data Integration Platforms: Not Just “What”, but “How” – Part 2

As I discussed before, it’s not enough to walk through a functional checklist for a data integration platform.  It’s important to make sure that it works in the right way.   In my last posting, I discussed the concept of a “unified” platform and its implications for the user experience.

The second key aspect of how a data integration platform works is its openness—how much it is designed to work with the broader IT environment.  Data integration, by definition, touches a large portion of the IT environment, which could mean thousands of different applications and data sources in large organizations.  Moreover, it’s not just the systems inside the firewall you need to be concerned with.

In most cases, it’s important to also support integration with the systems of B2B partners such as customers, suppliers, distributors, etc., as well as any SaaS partners.  And the platform has to support any technology standard such as those for operating systems or databases which have been instituted.  Frankly, there’s not much use in a data integration platform that isn’t designed to work with as broad a range of applications and systems as possible. (more…)

Posted in Cloud Computing, Data Integration | Tagged , , , | Leave a comment

Salesforce.com Integration – Inside Out or Outside In?

People have begun to realize that integration is a key requirement for a successful SaaS application deployment.  Since a SaaS application like Salesforce CRM resides in the cloud (it is hosted in a data center outside your company’s firewalls), customers need to move their critical corporate data like customer, product or pricing information into Salesforce before they can use the application and provide maximum value to their end users.

They also need to keep the data in Salesforce synchronized with the rest of their on premise applications in order to maintain operational efficiency and provide timely and accurate information flow throughout their enterprise.

So how difficult is it to integrate Salesforce with on premise applications, and how should it be done?  Well, for starters, salesforce.com provides a complete set of well documented APIs that make it straight forward for a good software programmer to accomplish that task.

Those same APIs are also used by integration vendors to provide more flexible, powerful and manageable solutions that accomplish the same task without requiring the same level of programming skill.   (more…)

Posted in Cloud Computing, Customers, Data Integration, Data Services, Enterprise Data Management | Tagged , , , , , , , , , | 4 Comments

Checklist For Data Integration Platform Capabilities

As I have been discussing in my previous blogs, a data integration platform has to cover a lot of ground if it’s going to be the backbone for sharing data across a company or organization.  Below is a checklist of key capabilities that you should evaluate, but of course no checklist should be used blindly.  So a couple comments first.

First, are all of these capabilities relevant to you?  Try to think beyond the specific project you may have at hand to the different types of data integration projects others in your organization may be pursuing.  After all, the point of a platform, as opposed to a tool, is that you are trying to promote reuse and standardization across the organization and across different projects or initiatives.  Also, try to think of what is needed now vs. what is likely to be needed in the future.

Here are the capabilities we feel that any data integration platform worth its salt should support in order to claim that it is comprehensive: (more…)

Posted in Data Governance, Data Integration, Data Quality, Data Warehousing, Master Data Management, Real-Time | Tagged , , , , | 3 Comments

The Four Realms Of Data Integration

If you say the words “data integration“, different people may think of different things.  Some think of ETL (extract-transform-load) tools.  Others think of enterprise application integration (EAI) technologies or message brokers.  But in most cases, regardless of which tool leaps to mind, people think about how data is integrated inside of an organization, or enterprise data integration.

In other words, how data is shared between different applications and systems inside the firewall.  But this is just one aspect or realm within the broader data integration discipline, albeit an important one and generally the one most people start with.

Posted in Cloud Computing, Data Integration, Data Quality, Integration Competency Centers | Tagged , , | 1 Comment