Posts Tagged 'Data warehouse'

2014 Cloud Integration Predictions from @SnapLogic

SnapLogicIntegrationCloudManeesh Joshi from SnapLogic shared his 2014 cloud integration predictions last week. They are:

  1. iPaaS makes ESBs obsolete
  2. API management and iPaaS jointly displace Service Oriented Architecture (SOA) in enterprise IT
  3. IT dinosaurs face extinction; the citizen developer emerges
  4. Digital Marketing platforms take over the world
  5. The rise of the cloud data warehouse

Here’s a powerpoint overview:

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The Shift to Cloud Business Intelligence

In 2006 I posted a presentation on Slideshare called, What is Driving the Shift to On-Demand BI? While it might have been a little early in terms of cloud business intelligence adoption, looking at it today shows that most of the industry analyst predictions were actually quite conservative when it comes to cloud adoption in the enterprise. I listed the drivers for the shift to analytics as a cloud service as:

  1. It just makes sense
  2. Simple, simple, simple
  3. OLTP –> OLAP
  4. Because Gartner said so!
  5. “Date a fad, marry a trend.” (with acknowledgement to @kellblog of course)

Here’s the presentation.

Recently Amazon.com announced that Redshift, their data warehouse solution, is the company’s fastest growing AWS service. Over 1000 global customers are moving significant business intelligence initiatives to Amazon’s data warehouse in the cloud. This video does a pretty nice job of explaining how it works and why the value proposition is so compelling.

TDWI Q&A: Data Integration and Cloud Computing

Image representing Informatica as depicted in ...

Image via CrunchBase

I participated in a Q&A session with TDWI recently and provide my thoughts on the following questions:

  • What impact is cloud computing having on traditional IT roles and responsibilities?
  • What are some of the barriers to adoption of cloud-based applications and platforms?
  • What is the role of data integration as it relates to cloud computing?
  • Can companies move incrementally to the cloud without making a full-on commitment?
  • What about service-level agreements? How should they be enforced with cloud vendors?
  • What sort of architecture should companies look for, especially for BI and data warehousing applications?
  • What about performance concerns, especially with large data sets?
  • How is Informatica addressing the cloud computing opportunity and challenge?

As there doesn’t appear to be a comment section on the site, I’d appreciate any feedback or comments you might have on the discussion.

Cloud Data Replication for Better Business Intelligence

salesforce logoI posted an interview on the Informatica Perspectives blog today that highlights the importance of  data replication as a service as part of a Salesforce analytics strategy. A few highlights:

“Once we realized how robust and easy to use Informatica Cloud could be, the following day we had a replication job moving data into a test data warehouse target – capturing incremental data changes and easily adaptable against an ever changing Salesforce data model. This would have taken weeks of development effort in a constantly changing SFA environment in the middle of a project that was still determining what fields and objects to create. Additionally, the ongoing maintenance would have caused major headaches and increased run-rate costs.”

To populate hourly changes we use the data replication service to populate staging tables to populate our enterprise BI solution.”

“With the Informatica Cloud data replication service, new fields and changes to existing objects can occur without there being an impact on our analytics downstream. It allowed us to be able to report on every single piece of data in our sales system in our data warehouse on day one of the salesforce.com implementation.”

You can read the entire interview here.


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