'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.
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