Querying Semistructured Data in Azure Data Lake with USQL
Data is exploding across enterprises. Much of it is semi-structured junk. Or is it junk? What are you going to do with it until you can find out? Microsoft’s Azure Data Lake is a cloud storage and analytical service for parking a variety of data. I have stored in Azure Data Lake Store several gigabytes of US Census data at a reasonable rate per month. Now I can query that semi-structured data using an ANSI SQL language called U-SQL. In this session I will demonstrate the similarities and differences between U-SQL and T-SQL. I will demonstrate how easy it is to build a query against 21 GB of CSV files. Such queries can help you determine whether you have a gold mine in your data or a bunch of garbage before investing in a full data warehouse build.
Russ Loski is a SQL Server BI Developer based in Dallas, TX. Twenty years ago, he began working with SQL Server 6.5. He has since continued to develop applications connected to all of the versions of SQL Server. He has worked with clients in industries from insurance to healthcare, from movie theaters to American football. Russ is a regular speaker at SQLSaturday events, as well as the SQL Server Users Groups in the North Texas region. Russ likes working with data in various shapes.
- Azure Data Lake 4 Recordings