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Barry Devlin

As one of the founders of data warehousing back in the mid-1980s, a question I increasingly ask myself over 25 years later is: Are our prior architectural and design decisions still relevant in the light of today's business needs and technological advances? I'll pose this and related questions in this blog as I see industry announcements and changes in way businesses make decisions. I'd love to hear your answers and, indeed, questions in the same vein.

About the author >

Dr. Barry Devlin is among the foremost authorities in the world on business insight and data warehousing. He was responsible for the definition of IBM's data warehouse architecture in the mid '80s and authored the first paper on the topic in the IBM Systems Journal in 1988. He is a widely respected consultant and lecturer on this and related topics, and author of the comprehensive book Data Warehouse: From Architecture to Implementation.

Barry's interest today covers the wider field of a fully integrated business, covering informational, operational and collaborative environments and, in particular, how to present the end user with an holistic experience of the business through IT. These aims, and a growing conviction that the original data warehouse architecture struggles to meet modern business needs for near real-time business intelligence (BI) and support for big data, drove Barry’s latest book, Business unIntelligence: Insight and Innovation Beyond Analytics, now available in print and eBook editions.

Barry has worked in the IT industry for more than 30 years, mainly as a Distinguished Engineer for IBM in Dublin, Ireland. He is now founder and principal of 9sight Consulting, specializing in the human, organizational and IT implications and design of deep business insight solutions.

Editor's Note: Find more articles and resources in Barry's BeyeNETWORK Expert Channel and blog. Be sure to visit today!

August 2014 Archives

Stefan Groschupf, CEO of @Datameer (from the German Sea of Data), does great one-liners. At the #BBBT last Friday, he suggested that Datameer could be seen as the Business Objects of the Hadoop world. And it's that thought that leads me to data marts.

As one of the oldest and most divisive debates in business intelligence, it's clear that the time-to-value discussions of data warehouse vs. data mart also apply to Hadoop. Hadoop is increasingly being used to integrate data from a wide variety of sources for analysis, begging the question: do it in advance for data quality or do it as part of the analysis to reduce time to value? Datameer is clearly a data mart.

And in the big data world, it's certainly not the only data mart type of offering. What's different about Datameer is that it has been around for nearly 5 years and has an impressive customer base.

At an architectural level, we should consider how the quality vs. timeliness, mart vs. warehouse trade-off applies in the world of big data. Read more on this at my new blog location.

Posted August 19, 2014 3:28 AM
Permalink | No Comments |
Stefan Groschupf, CEO of @Datameer (from the German Sea of Data), does great one-liners. At the #BBBT last Friday, he suggested that Datameer could be seen as the Business Objects of the Hadoop world. And it's that thought that leads me to data marts.

As one of the oldest and most divisive debates in business intelligence, it's clear that the time-to-value discussions of data warehouse vs. data mart also apply to Hadoop. Hadoop is increasingly being used to integrate data from a wide variety of sources for analysis, begging the question: do it in advance for data quality or do it as part of the analysis to reduce time to value? Datameer is clearly a data mart.

And in the big data world, it's certainly not the only data mart type of offering. What's different about Datameer is that it has been around for nearly 5 years and has an impressive customer base.

At an architectural level, we should consider how the quality vs. timeliness, mart vs. warehouse trade-off applies in the world of big data. Read more on this at my new blog location.

Posted August 19, 2014 3:28 AM
Permalink | No Comments |


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