Orchestrating Big Data with Azure Data Factory


EnderunCollege
Enrollment in this course is by invitation only

About this course

Need to schedule and manage big data workflows?

This data analysis course teaches you how to use Azure Data Factory to coordinate data movement and transformation using technologies such as Hadoop, SQL, and Azure Data Lake Analytics. You will learn how to create data pipelines that will allow you to group activities to perform a certain task.

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

  • Creating data workflows with Azure Data Factory
  • Scheduling data pipelines to orchestrate big data processes
  • Applying data transformations in a pipeline with Hive or U-SQL

Hide Course Syllabus

Course Syllabus

  • Module 1: Getting Started with Azure Data Factory
  • Module 2: Scheduling Pipelines
  • Module 3: Transforming Data in Pipelines

Meet the instructors

Graeme Malcolm

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.

  1. Course Number

    DAT223.3x
  2. Classes Start

  3. Classes End

  4. Estimated Effort

    Total 12 to 16 hours