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Tuesday, February 25 • 11:15am - 12:05pm
Architecting Analytic Warehouses for Analytics

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This session answers architecture questions related to the overall structure and strategy for an enterprise analytics system. How do we design a data warehouse for analytics purposes? What do we integrate into a central warehouse or maintain in separate data marts? How do we integrate long term storage systems that we need to query only occasionally? How do we integrate real-time data streaming? What ETL and integration strategies and tools are we going to use? Where and how do we extend our raw data with calculated measures and analytic functions? How do we create a system that has a strong foundation, but can grow and evolve over time? This presentation will draw from real-world data architecture projects that were designed with analytics in mind. Included will be a discussion of considerations when designing for Autonomous Data Warehouses.
Speakers
avatar for Dan Vlamis

Dan Vlamis

President, Vlamis Software Solutions, Inc.
Dan Vlamis is President and founder of Vlamis Software Solutions, a boutique consultancy which has led more than 200 Business Analytics implementations for more than 25 years at many of the world’s leading organizations. Recognized by Oracle as an Oracle ACE Director, he consults with Oracle Product Management regularly. Dan covers Oracle Analytics... Read More →
avatar for Mike Caskey

Mike Caskey

Senior Consultant, Vlamis Software Solutions
As a senior consultant, I am a veteran Oracle data warehouse architect and a Software Engineer. While I have solid experience working with transactional systems, my specialty has been data warehouse and business intelligence applications. I bring tremendous data warehouse experience... Read More →

Tuesday February 25, 2020 11:15am - 12:05pm PST
Bldg 23- Rm 1710 .
  Data Warehousing and ETL, Full Session (50 minutes) |   Artificial Intelligence and Machine Learning, Full Session (50 minutes) |   Business Analytics, Full Session (50 minutes)