Azure Data Engineering Cookbook

Table of Contents

1. Creating and Managing Data in Azure Data Lake
2. Securing and Monitoring Data in Azure Data Lake
3. Building Data Ingestion Pipelines Using Azure Data Factory
4. Azure Data Factory Integration Runtime
5. Configuring and Securing Azure SQL Database
6. Implementing High Availability and Monitoring in Azure SQL Database
7. Processing Data Using Azure Databricks
8. Processing Data Using Azure Synapse Analytics
9. Transforming Data Using Azure Synapse Dataflows
10. Building the Serving Layer in Azure Synapse SQL Pool
11. Monitoring Synapse SQL and Spark Pools
12. Optimizing and Maintaining Synapse SQL and Spark Pools
13. Monitoring and Maintaining Azure Data Engineering Pipelines