Apache Spark Programming with Databricks

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.

This Apache Spark training course will prepare you to take the Databricks Certified Associate Developer for Apache Spark exam.

The Apache Spark Programming with Databricks training objectives are as follows:

• Define Spark’s architectural components
• Describe how DataFrames are transformed, executed, and optimized in Spark
• Apply the DataFrame API to explore, preprocess, join, and ingest data in Spark
• Apply the Structured Streaming API to perform analysis on streaming data
• Use Delta Lake to improve the quality and performance of data pipelines

All of our Spark and Databricks trainers are certified and enthusiastic! The Apache Spark course is offered privately onsite or via a live instructor-led online virtual classroom. All delegates receive extensive course materials (student guide and labs) and access to a licensed environment for hands-on labs. For online Apache Spark training, we use a daily Teams, WebEx or Zoom meeting to view the trainer screen and for audio communication.