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Cloudera Developer Training for Spark and Hadoop I (CDTSH1)

Course Description Schedule Course Outline
 

Who should attend

  • Programmers
  • Developers
  • Engineers

Prerequisites

  • Apache Spark examples and hands-on exercises are presented in Scala and Python, so 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
  • Prior knowledge of Hadoop is not required.

Course Objectives

By the end of this course, you will learn:

  • How data is distributed, stored, and processed in a Hadoop cluster
  • How to use Sqoop and Flume to ingest data
  • How to process distributed data with Apache Spark
  • How to model structured data as tables in Impala and Hive
  • How to choose the best data storage format for different data usage patterns
  • Best practices for data storage

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Course Content

Learn how to import data into your Apache Hadoop cluster and process it with Spark, Hive, Flume, Sqoop, Impala, and other Hadoop ecosystem tools.

This four-day hands-on training course delivers the key concepts and expertise you need to ingest and process data on a Hadoop cluster using the most up-to-date tools and techniques. Employing Hadoop ecosystem projects such as Spark, Hive, Flume, Sqoop, and Impala, this training course is the best preparation for the real-world challenges faced by Hadoop developers. You will learn to identify which tool is the right one to use in a given situation, and will gain hands-on experience in developing using those tools.

Classroom Training
Modality: G

Duration 4 days

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E-Learning
Modality: P
Price (excl. VAT)
  • Eastern Europe: US$ 2,235.-
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Click on the location to go directly to the booking pageSchedule
Slovenia

Currently there are no local training dates scheduled.  For enquiries please write to info@fastlane.si.

This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
 

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