Posted May 13, 2013 8:41 AM
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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.
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.
Having keynoted, spoken at and attended the inaugural O'Reilly Media Strata Conference in Santa Clara over the past few days, I wanted to share a few observations.
With over 1,200 attendees, the buzz was palpable. This was one of the most energized data conferences I've attended in at least a decade. Whether it was the tag line "Making Data Work", the fact it was an O'Reilly event or something else, it was clear that the conference captured the interest of the data community.
The topics on the agenda were strongly oriented towards data science, "big data" and the softer (aka less structured) types of information. This led me to expect that I'd be an almost lone voice for traditional data warehousing topics and thoughts. I was wrong. While there certainly were lots of experts in data analysis and Hadoop, there was no shortage of both speakers and attendees who did understand many of the principles of cleansing, consistency and control at the heart of data warehousing.
Given the agenda, I was also expecting to be somewhat of the "elder lemon" of the conference. Unfortunately (in my personal view), in this I was correct. It looked to me that the median age was well south of thirty, although I've done no data analysis to validate that impression. Another observation, which was a bit more concerning, was that the gender balance of the audience was about the same as I've seen at data warehouse conferences since the mid-90s: about the same mid-90s percentage of males. It seems that data remains largely a masculine topic.
The sponsor / vendor exhibitor list was also very interesting. There were only a few of those that turn up at traditional data warehouse conferences. Of course, the new "big data" vendors were there in force, as well as a few information providers. Of the relational database vendors, only ParAccel and AsterData were represented. Jaspersoft and Pentaho represented the Open Source BI vendors. While Pervasive and Tableau rounded out the vendors I recognized from the BI space.
As a final point, I note that the next Strata Conference has already been announced: 19-21 September in New York. Wish I could be there!