Every day, we have more and more data, and the problem is how do we get to where we can use the data for business needs. In this course, Implementing a Databricks Environment in Microsoft Azure, you will learn foundational knowledge and gain the ability to implement Azure Databricks for use by all your data consumers like business users and data scientists. First, you’ll learn the basics of Azure Databricks and how to implement ts components. Next, you will discover how to work with Azure Databricks during ETL (Extract, Transform, Load) operations. Then, you’ll move on to performing batch scoring with machine learning models. Finally, you will explore how to work with streaming data from HDInsight Kafka. When you’re finished with this course, you will have the skills and knowledge of Azure Databricks needed to implement data pipeline solutions for your data consumers. Software required: Microsoft Azure Subscription
Author Name: Michael Bender
Author Description:
Michael is a six-time Microsoft Most Valuable Professional, content developer, technical trainer, and community leader. Having been in the IT industry since the ’90s, his experiences cover the gamut of Microsoft technologies, with his main focus being Microsoft Azure, Windows Server, and PowerShell.

Table of Contents

• Course Overview
  1min
• Implementing an Azure Databricks Environment
  46mins
• Performing ETL (Extract, Transform, Load) Operations with Azure Databricks
  21mins
• Batch Scoring of Apache Spark ML Models with Azure Databricks
  29mins
• Streaming HDInsight Kafka Data into Azure Databricks
  26mins