You Might Not Need a Data Warehouse Anymore | Dave Wentzel
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More and more companies are deploying data lakes, but not everyone knows how to quickly query a data lake to add business value. We’ll start by discussing the 3 reasons data analytics projects fail. We’ll then show you why a data lake eliminates all 3 of those risks. We’ll show you why data warehouses are slowly being supplanted by data lakes and “lakehouses”.
Then we’ll actually query a data lake using inexpensive tools that you already know and love (SQL Server) to show you how data sandboxing and Exploratory Data Analytics solves problems that can’t be done in traditional data warehouses. ETL developers: We’ll show you how to use SQL and your data lake to build better data enrichment pipelines.
To move quickly we’ll demo these concepts using a real data lake with real data and real SQL queries. We’ll give you all of the scripts and the data so that you can spin up our solution and do your own analytics in the cloud using your data and our patterns.
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