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.

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Course Insight

Suitable for beginner learners. This course serves as an entry point into Data Science, building foundational knowledge before moving on to advanced frameworks or specialized paths.

Beginner FriendlySelf-Paced Learning

SKILLS TO
MASTER

Analytics
Exploratory Data Analysis
ModelingTrending
Predictive Machine Learning
SQL Querying
Relational Data Management
Pandas
Matplotlib
Statistics
Tableau
ETL
Careers:Cloud Engineer, DevOps Engineer, Solutions Architect.

Quick Facts

Below sections are verified from last major sync. For real-time updates and today's latest lectures, Check official page here.

What You’ll Learn

  • Course Overview : 1min.
  • Abandoning ETL with an Azure Data Lake and U-SQL : 30mins.
  • Tool Time – Saving Money with Visual Studio : 26mins.
  • Cutting Development Timescales : 40mins.
  • Building Dams - Structuring the Data Lake : 35mins.
  • Converting and Manipulating Data : 36mins.
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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).

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