Implementing a Data Analytics Solution with Azure Databricks (DP-3011)

Get started with data engineering on 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.
Azure Databricks is a cloud service that provides a scalable platform for data analytics using Apache Spark.
After completing this module, you 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.

Azure Databricks is built on Apache Spark and enables data engineers and analysts to run Spark jobs to transform, analyze and visualize data at scale.
After completing this module, you will be able to:
- Describe key elements of the Apache Spark architecture.
- Create and configure a Spark cluster.
- Describe use cases for Spark.
- Use Spark to process and analyze data stored in files.
- Use Spark to visualize data.

Delta Lake is an open source relational storage area for Spark that you can use to implement a data lakehouse architecture in Azure Databricks.
After completing this module, you will be able to:
- Describe core features and capabilities of Delta Lake.
- Create and use…