Apache Spark™ Programming with Databricks
**Important Notice**: This course will be retired on May 26, 2025. It has been updated and is now offered as 4 modular courses:
1-Introduction to Apache Spark™
2-Developing Applications with Apache Spark™
3-Stream Processing and Analysis with Apache Spark™
4-Monitoring and Optimizing Apache Spark™ Workloads on Databricks
Databricks recommends that you complete the course by May 26. If you are a Databricks Academy Lab Subscriber, you have the option to enroll in the self-paced versions of these modules available in the Databricks Academy Labs Catalog in Customer Academy.
Welcome to the Apache Spark™ Programming with Databricks course. This course is part of the Apache Spark™ Developer learning pathway and was designed to help you prepare for the Apache Spark™ Developer Certification exam. Please note - this is the self-paced version of the Apache Spark™ Programming with Databricks instructor-led course
In this course, you will explore the fundamentals of Apache Spark™ and Delta Lake on Databricks. You will learn the architectural components of Spark, the DataFrame and Structured Streaming APIs, and how Delta Lake can improve your data pipelines. Lastly, you will execute streaming queries to process streaming data and understand the advantages of using Delta Lake.
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