Azure Data Factory Cookbook
Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks
Created by Dmitry Foshin, Xenia Ireton, Tonya Chernyshova and 1 more
Explore practical ways to build, manage, and optimize data pipelines using Azure Data Factory and related Azure services. You'll learn to integrate data from cloud and on-premises sources, transform and clean data, and orchestrate workflows for modern data platforms.
Packt | Feb 2024 | 532 min
What You Will Learn
You'll work through real-world scenarios that show how to design, deploy, and monitor data pipelines using Azure Data Factory, Synapse Analytics, Fabric, and Databricks. Step-by-step guidance helps you apply best practices, connect to different data sources, and solve common challenges as you progress.
Key Features
- Build and manage robust ETL and ELT pipelines using Azure Data Factory tools
- Integrate and transform data from multiple sources, both cloud and on-premises
- Troubleshoot, debug, and optimize pipelines for reliable data workflows
Target Audience
Ideal for ETL developers, data warehouse architects, and software professionals with basic data warehousing knowledge. If you're looking to enhance or modernize your ETL pipelines with Azure tools, or want to solve practical data integration challenges, you'll find actionable solutions and techniques here.
