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Barry Devlin

Clearing Skies for Cloud Data Warehousing

The past five years has seen an explosion of innovation and new technical forms as cloud data warehousing has gone mainstream. But confusion has grown too. After all, the business needs are largely unchanged. So, why are there so many options and approaches? How do they differ? Which one may be the best choice? And why?

In this talk, Dr. Barry Devlin—a founder of the entire data warehousing industry—offers high level thoughts on these questions. Drawing lessons from the long history of data warehousing, he defines an all-embracing architecture and draws specific architectural design patterns for each of these modern approaches.


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Architecture Comparison (Lakehouse, Fabric, Mesh)

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Evolving beyond classic warehouses

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Trade‑offs & Risks

Introducing the Presenter

Barry Devlin

Data Architect, BI and DW Analyst and Consultant, Author and Speaker

Dr. Barry Devlin is among the foremost authorities on business insight and one of the founders of data warehousing, having published the first architectural paper in 1988.

With almost 40 years of IT experience, including 20 years with IBM as a Distinguished Engineer, he is a widely respected industry analyst, consultant, speaker and author of the seminal book, “Data Warehouse—from Architecture to Implementation” and numerous White Papers. His 2013 book, “Business unIntelligence—Insight and Innovation beyond Analytics and Big Data” is available in both hardcopy and e-book formats.

As founder and principal of 9sight Consulting, Barry provides strategic consulting and thought-leadership to buyers and vendors of BI solutions. He is continuously developing new architectural models for all aspects of decision-making and action-taking support. Now based in Cornwall, Barry’s knowledge and expertise are in demand across Europe and beyond.






Clearing Skies for Cloud Data Warehousing

As one of the founders of the data warehousing industry, 9sight Consulting founder, Barry Devlin, is well-placed to try and make sense of where data analytics is heading.

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