DP-3011: Implement a Data Analytics Solution with Azure Databricks

Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud.

Microsoft Applied Skills

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This course is for Data Engineers.

Fundamental knowledge of data analytics concepts.

After completing this course, students will be able to:

• Provision an Azure Databricks workspace
• Identify core workloads and personas for Azure Databricks
• Describe key concepts of an Azure Databricks solution
• Describe key elements of the Apache Spark architecture
• Create and configure a Spark cluster
• Describe use cases for Spark
• Use Spark to process and analyse data stored in files
• Use Spark to visualise data
• Describe core features and capabilities of Delta Lake
• Create and use Delta Lake tables in Azure Databricks
• Create Spark catalog tables for Delta Lake data
• Use Delta Lake tables for streaming data
• Create and configure SQL Warehouses in Azure Databricks
• Create databases and tables
• Create queries and dashboards
• Describe how Azure Databricks notebooks can be run in a pipeline
• Create an Azure Data Factory linked service for Azure Databricks
• Use a Notebook activity in a pipeline
• Pass parameters to a notebook

• Explore Azure Databricks
• Use Apache Spark in Azure Databricks
• Use Delta Lake in Azure Databricks
• Use SQL Warehouses in Azure Databricks
• Run Azure Databricks Notebooks with Azure Data Factory