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Cloudera Developer Training for Spark & Hadoop (DEV-S-H)

 
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Cloudera Developer Training for Spark & Hadoop (DEV-S-H)

Key Features

  • Learn from anywhere in the world. Connect with an Instructor in real time.
  • Attend Live Class from a PC or Mobile.
  • Ask questions from an Instructor in real time over voice & chat.
  • Includes Certificate of Completion.
  • Official Exam & Certification Assitance.
  • Get 30 Days free after class support.

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Course Description

About the Course

This four-day hands-on training course delivers the key concepts and expertise developers need to use Apache Spark to develop high-performance parallel applications. Participants will learn how to use Spark SQL to query structured data and Spark Streaming to perform real-time processing on streaming data from a variety of sources. Developers will also practice writing applications that use core Spark to perform ETL processing and iterative algorithms. The course covers how to work with “big data” stored in a distributed file system, and execute Spark applications on a Hadoop cluster. 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 Curriculum

Cloudera Developer Training for Spark & Hadoop (DEV-S-H)

Target Audience

This course is designed for developers and engineers who have programming experience, but prior knowledge of Hadoop and/or Spark is not required.

Prerequisites

This course is designed for developers and engineers who have programming experience, but prior knowledge of Spark and Hadoop is not required. Apache Spark examples and hands-on exercises are presented in Scala and Python. The ability to program in one of those languages is required. Basic familiarity with the Linux command line is assumed. Basic knowledge of SQL is helpful.

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