Comments for Informatica Perspectives - The Data Integration Blog

Comment on Beauty Is Only Skin Deep by Nora Grossett

Nora Grossett — Wed, 08 Feb 2012 20:33:14 +0000

Hey there administrator, I just needed to place a short mention to actually admit that in fact I favored your particular piece of writing. Thanks!

Comment on Social, Mobile, Cloud, Big Data and … Agile BI by PM Hut

PM Hut — Tue, 07 Feb 2012 14:19:35 +0000

Hi Rob,

The topic of Business Agility and Agile BI is gaining steam. It would be great if you can publish a post defining the concept…

Comment on Mainframe, or Not to Mainframe? by Captain Uday Prasad

Captain Uday Prasad — Mon, 30 Jan 2012 18:29:18 +0000

This was a nice and informative blog by Kin Cheung. I agree with his opinion on teh current status of IBM Mainframe.

WIth the latest trend of CLOUD coming I feel that MAINFRAME is an ideal way to support PAAS. As a matter of fact MVS operating system has been supporting cloud since its very inception in 1970s.

Comment on Reading The Tea Leaves: Predictions For Data Quality In 2012 by Clarke Patterson

Clarke Patterson — Thu, 26 Jan 2012 22:02:18 +0000

Hi Dylan,

Thanks for the comment. I couldn’t agree more that financial services companies seem to be leading the way in driving the awareness and importance of data quality management. Perhaps I’m a bit biased (just a little!) but I do believe we’ve just seen the tip of the iceberg for data quality as a whole and with leading organizations lighting the way, we’ll start to see a broader cross-section of organizations following the same path.

Comment on Reading The Tea Leaves: Predictions For Data Quality In 2012 by Dylan Jones

Dylan Jones — Thu, 26 Jan 2012 18:05:04 +0000

I think the drive from the finance sectors to comply with directives has had a massive impact on data quality improvement. I don’t know any decent practitioners with finance and DQ skills who are not in hot demand right now/

MDM and DG roles are definitely on the increase but the biggest shift is definitely towards wider data quality management, not just the local department cleanse projects. The questions we get asked in our community are far more around delivering data quality on a grander scale and demonstrating value for the longer term.

Great post.

Comment on Reading The Tea Leaves: Predictions For Data Quality In 2012 by Sarah Michaels

Sarah Michaels — Thu, 26 Jan 2012 13:25:48 +0000

Everything you say make a lot of sense Clarke, data quality is on the rise and everything seems to be changing bit by bit. Thanks for the good article

Comment on The Reality of Real-Time: When Fast Enough Can Make You Real Money by Tony Baer

Tony Baer — Mon, 23 Jan 2012 05:01:13 +0000

Event processing, or at least CEP, is often thought of as Extreme Processing — highly complex event feeds in real time. In actuality there is a broad spectrum of use cases of event processing, from simple to complex, and from high latency to whatever your definition is of real time. As none of the use cases are mutually exclusive, the definition of CEP does not depend on latency.

Comment on Database Partitioning and Database Archiving; Can They Be Used Together to Optimize Applications? by Amarendra Konda

Amarendra Konda — Tue, 17 Jan 2012 11:57:27 +0000

Very nice explanation of data archiving and partitioning along the needs and advantages.

Comment on Social Media Monitoring for Early Warning of Public Safety Issues by IT Software Community - Peter Bartolik - Move Over Big, Here Comes 'Extreme Data'

Thu, 12 Jan 2012 19:13:54 +0000

[...] users outside of its core markets of intelligence, military, supply chain and financial services," blogged Chris Carlson, director of Technology Evangelism for Informatica's Complex Event Processing business, late last [...]

Comment on Release Management Is Waste by Bob Berger

Bob Berger — Wed, 11 Jan 2012 15:24:58 +0000

You should have a way of saving attempts to post a comment that is rejected. Let me try to recreate my rejected first attempt

The key to change in government IT is Dr Deming, and I find that elsewhere you have interpreted one of his principles !!

“Create constancy of purpose toward improvement of product and service, with the aim to become competitive and stay in business, and to provide jobs.”

Interpretation: Provide for the long-range data integration needs of the enterprise. Don’t focus on just short-term project demands. The goal is to sustain integration as an ongoing discipline. Integration Competency Centers that do so will see their teams grown and provide more, not less, jobs.

Government has its special problems : inconstant funding, required interoperability of separated depts that serve the same customer, and changing standards and laws under which it must operate.

Do you have any existing examples of government Integration Competency Centers ? — so I can convincingly lobby for its introduction where I work.