Cloudera Data Engineering: Developing Applications with Apache Spark

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, such as Hive and Kafka. Participants will learn how to use Spark SQL to query structured data, how to use Spark Streaming to perform real-time processing on streaming 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.                                                                  

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
• Use Spark Streaming together with Kafka to process a data stream

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.