By Russ Loski
Monday, October 17, 2016 9:36:00 AM
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 explore it? Microsoft’s Azure Data Lake is a cloud storage and analytical service for parking a variety of data. When you are ready to discover what is in those files you can spin up the resources you need and run ANSI SQL queries using the U-SQL language. You can join those files to other files and even to SQL Server on Azure in a single query.
After we look at how easy it is to set up a Data Lake we will develop some simple queries against files that I have already loaded into the data lake. We will run a query against a set of files with over 15 GB of data. We will look at the different SQL elements that we are all familiar with (grouping, where clauses) and note the similarities and glaring differences between U-SQL and T-SQL.
Bio: Russ Loski is a local SQL Server developer in the DFW area. He has worked with SQL Server since version 6.5. His passion is finding ways to get information out of a variety of formats from SQL Server to comma delimited files. He is currently working as a contract ETL developer at Baylor Scott & White.
6:30 PM Meet & Greet | 7 PM Presentation