Azure Databricks is the jointly-developed data and AI service from Databricks and Microsoft for data engineering, data science, analytics and machine learning. Azure Databricks is optimized for Azure with integration to provide one-click setup, reliable and consistent data lakes, streamlined workflows, and an interactive workspace that enables collaboration among data scientists, data engineers and business analysts.

In this three-part training series, we’ll teach you how to get started building a data lakehouse with Azure Databricks, so you can begin to understand its capabilities and how data analysts can leverage SQL to query data in the lakehouse. You will learn how to train a machine learning (ML) model using customer product usage data with Azure Databricks.

In this training series, you’ll learn:

  • Data engineering your Azure Databricks lakehouse — In this training, we’ll guide you through ingesting event data to build a lakehouse for analyzing customer product usage.
  • Querying your Azure Databricks lakehouse — In this training, we’ll demonstrate how to engineer data marts in your Azure Databricks lakehouse for your data analyst team.
  • Training an ML customer model using your Azure Databricks lakehouse — In this training, we’ll demonstrate how your data science team can use data marts in your Azure Databricks lakehouse to design and train an ML customer model on customer product usage data.

Featured Speakers

Kate Sullivan
Technical Curriculum Developer, Databricks

Joshua Cook
Technical Team Lead, Databricks

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