Cloudera Educational Services

DATE: May 6, 2026 9:00 - 17:00 (CST TIMEZONE) Virtual Classroom, AMER Read more

DATE: May 12, 2026 9:00 - 17:00 (SGT TIMEZONE) Virtual Classroom, APAC Read more

DATE: June 25, 2026 9:00 - 17:00 (CEST TIMEZONE) Virtual Classroom, EMEA Read more

DATE: May 7, 2026 9:00 - 17:00 (CEST TIMEZONE) Virtual Classroom, EMEA Read more

DO NOT START THIS CERTIFICATION EXAM HERE! Once you have been enrolled, you will receive an email with additional instructions to schedule your exam. If you click through this course and complete it you will not receive the email. Read more

This four-day hands-on training course delivers the key concepts and knowledge developers need to use Apache Spark to develop high-performance, parallel applications on the Cloudera Data Platform.  Hands-on exercises allow students to practice writing Spark applications that integrate with Cloudera Data Platform core components. Participants will learn how to use Spark SQL to query structured data, how to use Hive features to ingest and denormalize data, and how to work with “big data” stored in a distributed file system. After taking this course, participants will be prepared to face real-world challenges and build applications to execute faster decisions, better decisions, and interactive analysis, applied to a wide variety of use cases, architectures, and industries. Download full course description  What you'll learn During this course, you will learn how to: Distribute, store, and process data in a cluster Write, configure, and deploy Apache Spark applications Use the Spark interpreters and Spark applications to explore, process, and analyze distributed data Query data using Spark SQL, DataFrames, and Hive tables Deploy a Spark application on the Data Engineering Service What to expect This course is designed for developers and data engineers. All students are expected to have basic Linux experience, and basic proficiency with either Python or Scala programming languages. Basic knowledge of SQL is helpful.  Prior knowledge of Spark and Hadoop is not required. DATE: May 11-14, 2026 9:00 - 17:00 (CEST TIMEZONE) Virtual Classroom, EMEA Read more