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
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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