Introduction to the Azure Data Lake and U-SQL

The Big Data revolution has exposed the limitations of traditional data processing models like cubes and ETL. Learn a different way of doing things with the Azure Data Lake, using the U-SQL language to query raw data files and create databases.
Course info
Rating
(38)
Level
Beginner
Updated
December 18, 2017
Duration
2h 51m
Table of contents
Description
Course info
Rating
(38)
Level
Beginner
Updated
December 18, 2017
Duration
2h 51m
Description

Building good reporting structures can be difficult, especially when those pesky users keep asking for new reports. Throw Big Data into the mix and things become a lot more complicated. What if you didn’t need to build any data models at all, or you could build models that could be quickly put up and torn down? In this course, Introduction to the Azure Data Lake and U-SQL, you'll be introduced to Azure Data Lake and the U-SQL language, and learn how to abandon ETL. First, you'll delve into querying by using the powerful U-SQL language, built straight into the Azure Data Lake. Next, you'll discover how to throw your files into the Data Lake and query them directly without needing to load them into a database. Finally, you'll learn about how Azure Data Lakes offers the best of both worlds, with support for unstructured files and structured databases. By the end of this course, you’ll not only know what a Data Lake is, you’ll know how to populate it, query it, and develop for it using Visual Studio. Software required: Visual Studio 2017 Community Edition and Azure subscription (optional).

About the author
About the author

Mike loves to mess around with data and programming problems, the bigger the better. He’s worked with a variety of companies, helping to build and improve systems of all shapes and sizes.

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