Training with Iverson classes
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CDTSH : Cloudera Data Engineering: Developing Application with Apache Spark
TRAINING AND CERTIFICATION
Overview
This four-day hands-on training course teaches the key concepts and knowledge developers need to use Apache Spark in developing 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, use Spark Streaming to perform real-time processing on streaming data, and 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 that make fast and relevant decisions, implementing interactive analysis applied to a wide variety of use cases, architectures, and industries.
Audience Profile
This course is designed for developers and data engineers.
Prerequisities
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
At Course Completion
Through instructor-led discussion and interactive, hands-on exercises, you will learn how to:
- Distribute, store, and process data in a CDP cluster
- Write, configure, and deploy Apache Spark applications
- Use 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
Course Outline
| Course Information |
|---|
| EXAM CODE CDP-3001 |
| DURATION 4 Days |
| Schedule |
|---|
20-23 Feb 2024 4-7 Mar 2024 2-5 Apr 2024 2-5 Jul 2024 7-10 Oct 2024 |
PMP, Project Management Professional (PMP), CAPM, Certified Associate in Project Management (CAPM) are registered marks of the Project Management Institute, Inc.