DENG-254: Preparing with Cloudera Data Engineering
Course delivers the key concepts & knowledge needed to use Apache Spark to develop high-performance, parallel applications on Cloudera.
Course Overview
Course delivers the key concepts & knowledge needed to use Apache Spark to develop high-performance, parallel applications on Cloudera.
This 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.
Course Objectives
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
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