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Apache Hadoop, MapReduce and the Hadoop Ecosystem

Introduction to Hadoop, MapReduce and the Hadoop Ecosystem with practical exercises.

BD-AMH

Duration

3 days

goal

  • Learn and become familiar with the architecture of Apache Hadoop
  • Core components of Hadoop and the Hadoop Ecosystem
  • How HDFS and MapReduce function
  • Basic skills for developing MapReduce and simple big data applications
  • Learn how to use resources for defining data workflows
  • Get to know the limits of Hadoop and MapReduce

target group

System architects, developers, anyone interested in big data.

contents

  • Reason and Purpose of Using Hadoop
  • Attributes of the Hadoop Architecture
  • Core Concepts of Hadoop
  • Functionality of MapReduce
  • Main Components of the Hadoop Ecosystem: HDFS, MapReduce, Pig, Hive, HBase, Zookeeper, Flume, Cascading, etc.
  • Development of MapReduce Applications
  • Data Import and Export
  • Automation of Data Workflows
  • Data Serialization / De-serialization with Avro
  • Hadoop APIs
  • Best Practices and Patterns

Requirements

Basic knowledge of IT.

Method

Presentation with practical exercises.

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DA+49 (0) 711 90363245

emailTraining@trivadis.com

PlaceDateLanguageprice 
Frankfurt / DE
04.11. - 06.11.2019
DE1 860,00 €
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Trivadis, Bernd Rössler, Head of Training

Bernd Rössler

  • Solution Manager Trivadis Training

  • DE: +49 (0) 711 90363245
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