Processing Big Data with Azure Data Lake Analytics

AmicusKOI

Enrollment in this course is by invitation only

About this course

Want to store and process data at scale? This data analysis course teaches you how to apply the power of the Azure cloud to big data using Azure Data Lake technologies.

Learn how to manage data in Azure Data Lake Store and run U-SQL jobs in Azure Data Lake Analytics to generate insights from structured and unstructured data sources.

Note: To complete this course, you will need a Microsoft Azure subscription. You can sign up for a free trial subscription at http://azure.microsoft.com, or you can use your existing subscription. The labs have been designed to minimize the resource costs required to complete the hands-on activities.

Please Note: Learners who successfully complete this course can earn a CloudSwyft digital certificate and skill badge - these are detailed, secure and blockchain authenticated credentials that profile the knowledge and skills you’ve acquired in this course.

What you'll learn

Azure Data Lake technologies to store and process data using U-SQL jobs
Create and use U-SQL catalog objects
Extend your data processing scripts with custom C# code
Monitor and optimize U-SQL jobs

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Course Syllabus

Module 1: Getting Started with Azure Data Lake Analytics
Module 2: Using a U-SQL Catalog
Module 3: using C# Functions in U-SQL
Module 4: Monitoring and Optimizing U-SQL Jobs

Meet the instructor

Graeme Malcolm

Senior Content Developer Microsoft Learning Experiences

Graeme has been a trainer, consultant, and author for longer than he cares to remember, specializing in SQL Server and the Microsoft data platform. He is a Microsoft Certified Solutions Expert for the SQL Server Data Platform and Business Intelligence. After years of working with Microsoft as a partner and vendor, he now works in the Microsoft Learning Experiences team as a senior content developer, where he plans and creates content for developers and data professionals who want to get the best out of Microsoft technologies.