Next Meeting: Wed, May 25 2016
Big Data in the Modern Data Warehouse
Fred Bliss, Co-Founder and CTO Aptitive
'Big Data' has been the buzzword of the past few years. With the exception of a few niche verticals and use cases, it's often been a solution in search of a problem, as well as a word in search of a definition. With decision makers excited to push big data and predictive analytics solutions within organizations, data architects and developers must quickly understand its strengths within an enterprise BI architecture.
This session aims to define big data from the perspective of the enterprise data warehouse, while also arguing that both big data and data warehouses compliment one another perfectly. By using Google's big data analytics platform (BigQuery), SSIS, and a data warehouse built in SQL Server, we will illustrate how big data can best serve your organization, while also combining cloud and on-premise solutions across competing technology platforms.
Fred has over 10 years of experience primarily focused in the technical implementation of complex business problems, with an emphasis on data-related development and architecture. Fred's past work has included all phases of the design and development of data solutions, including cloud integration, data warehouse modeling, ETL, and front-end reporting implementations.
Fred's current professional interests include taking advantage of complex computing to incorporate big data and machine learning elements into enterprise data warehouses, as well as using web services to integrate cloud data with other enterprise data.
Fred lives in Chicago with his wife, Julia, and his daughter, Claire.
5:30 PM - 5:45 PM: General Announcements
5:45 PM - 6:15 PM: Dinner & Networking
6:15 PM - 7:30 PM: Main Presentation
7:30 PM - 7:45 PM: Wrap-up
Event Time : Wed, May 25 2016 17:30 - 20:00 Central Daylight Time
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5250 East Terrace Drive Madison, Wisconsin
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