DENG-254: Preparing with Cloudera Data Engineering Course Overview:

Conducted over four days, this immersive training course is designed to equip developers with the essential concepts and skills to harness the power of Apache Spark for crafting high-performance, parallel applications within the Cloudera Data Platform (CDP) environment.

The course combines theoretical understanding with hands-on experience, enabling participants to proficiently develop Spark applications that seamlessly integrate with core components of CDP. Through practical exercises, students will become adept at crafting Spark applications, while also gaining expertise in utilizing Spark SQL to query structured data. Moreover, the curriculum delves into leveraging Hive capabilities for data ingestion and denormalization, as well as handling substantial volumes of “big data” stored within a distributed file system.

Intended Audience:

• 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.

Learning Objectives of DENG-254: Preparing with Cloudera Data Engineering:

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