Cloudera Educational Services

DESCRIPTION [DATE: April 23-25, 2025] Virtual Classroom, [AMER] 9:00 - 17:00 (Central TIMEZONE) Read more

DESCRIPTION [DATE: April 15-18, 2025] Virtual Classroom, Taiwan [APAC] 9:00 - 17:00 (China Standard TIMEZONE) Read more

DESCRIPTION [DATE: May 13-16, 2025] Virtual Classroom, [APAC] 9:00 - 17:00 (Beijing TIMEZONE) Read more

DESCRIPTION [DATE: April 22-25, 2025] Virtual Classroom, [APAC] 9:00 - 17:00 (Beijing TIMEZONE) 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. 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 (CDP).  Hands-on exercises allow students to practice writing Spark applications that integrate with CDP 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 CDP 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: March 25-28, 2025] Virtual Classroom, [AMER] 9:00 - 17:00 (Central TIMEZONE) Read more