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Find a path to becoming a Databricks Workspace. Learn more at:
OpenCourser.com/topic/9xq3jz/databricks
Reading list
We've selected seven 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
Databricks Workspace.
A comprehensive guide to advanced analytics using Apache Spark and Databricks, this book covers topics such as graph processing, natural language processing, and machine learning.
Provides a practical guide to using Databricks for data security. It covers all the essential concepts and features of Databricks, and it is written in a clear and concise style.
Provides a comprehensive guide to Spark 3.0, the latest version of the popular big data processing framework. It covers all the essential concepts and features of Spark, making it a valuable resource for anyone who wants to use Spark for data engineering and machine learning.
Provides a comprehensive overview of Apache Spark, the open-source distributed computing engine that is used by Databricks.
Is the definitive guide to Apache Spark, the open-source distributed computing engine that is used by Databricks.
Teaches you how to build and deploy streaming data systems using Apache Flink, a technology that is integrated with Databricks.
Teaches you how to engineer features for machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/9xq3jz/databricks
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