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Developer Training For Spark and Hadoop

2.180 EUR
Days4
21. 1.24. 1. 2019
online
ENG
19. 2.22. 2. 2019
online
ENG
10. 6.13. 6. 2019
online
ENG

This four-day hands-on training course delivers the key concepts and expertise participants 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. Participants 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.

Audience

  • This course is designed for developers and engineers who have programming experience.

Goals

Through instructor-led discussion and interactive, hands-on exercises, participants will learn Apache Spark and how it integrates with the entire Hadoop ecosystem, learning:

  • 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

Outline

Read the entire course outline for more details.

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

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