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- Explore Azure Databricks
In this module, you learn how to:
- Provision an Azure Databricks workspace
- Identify core workloads for Azure Databricks
- Use Data Governance tools Unity Catalog and Microsoft Purview
- Describe key concepts of an Azure Databricks solution
- Perform data analysis with Azure Databricks
In this module, you learn how to:
- Ingest data using Azure Databricks.
- Using the different data exploration tools in Azure Databricks.
- Analyze data with DataFrame APIs.
- Use Apache Spark in Azure Databricks
In this module, you'll learn how 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.
- Manage data with Delta Lake
In this module, you learn:
- What Delta Lake is
- How to create Delta Tables
- How to use schema versioning and time travel in Delta Lake
- How to maintain data integrity with Delta Lake
- Learn how to build Lakeflow Declarative Pipelines in Azure Databricks
In this module, you'll learn how to:
- Describe Lakeflow Declarative Pipelines
- Ingest data into Lakeflow Declarative Pipelines
- Use Lakeflow Declarative Pipelines for real time data processing
- Learn how to deploy workloads with Lakeflow Jobs
In this module, you learn:
- What Lakeflow Jobs are
- The key components and benefits of Lakeflow Jobs
- How to deploy workloads using Lakeflow Jobs
