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Find a path to becoming a Azure Data Engineering. Learn more at:
OpenCourser.com/topic/ztsmn3/azure
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Azure Data Engineering.
Provides a comprehensive overview of data engineering on Azure, covering topics such as data integration, data processing, and data storage. It great resource for anyone looking to learn more about this topic.
Provides a comprehensive overview of data engineering with Microsoft Azure, covering topics such as data architecture, data storage, data processing, and data analytics. It valuable resource for anyone looking to learn about or improve their skills in data engineering with Azure.
Provides a modern approach to building data pipelines with Azure. It covers topics such as data architecture, data ingestion, data processing, and data storage. It good choice for those who want to learn about or improve their skills in data engineering with Azure.
This cookbook provides a collection of recipes for common data engineering tasks using Azure Databricks. It great resource for anyone looking for practical guidance on how to use this service.
Provides a comprehensive guide to using Azure Data Factory for Power BI. It covers a wide range of topics, including data ingestion, transformation, and storage.
Focuses on using Azure Data Engineering services for real-time data processing. It covers topics such as stream processing, data ingestion, and data analysis in real-time scenarios. It's suitable for professionals who want to build and manage real-time data pipelines.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/ztsmn3/azure
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