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HDP Overview: Apache Hadoop Essentials


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HDP Overview: Apache Hadoop Essentials


This course provides a technical overview of Apache Hadoop. It includes high-level information about concepts, architecture, operation, and uses of the Hortonworks Data Platform (HDP) and the Hadoop ecosystem. The course provides an optional primer for those who plan to attend a hands-on, instructor-led course.


Data architects, data integration architects, managers, C-level executives, decision makers, technical infrastructure team, and Hadoop administrators or developers who want to understand the fundamentals of Big Data and the Hadoop ecosystem.


Student centred learning/Experiential Learning

Lectures & participative information exchange


Upon completion of this program, participants should be able to :

  • Describe what makes data “Big Data"
  • List data types stored and analyzed in Hadoop
  • Describe how Big Data and Hadoop fit into your current infrastructure and environment
  • Describe fundamentals of:
    • the Hadoop Distributed File System (HDFS)
    • YARNo MapReduce
    • Hadoop frameworks: (Pig, Hive, HCatalog, Storm, Solr, Spark, HBase, Oozie, Ambari, ZooKeeper, Sqoop,
    • Flume, and Falcon)
    • Recognize use cases for Hadoop o Describe the business value of Hadoop
    • Describe new technologies like Tez and the Knox Gateway

Expand All


Understanding big data
Understanding Hadoop
Hadoop Architecture Fundamentals
Data Ingestion Strategies
Overview of Hadoop 2.0
To Be Confirm

To Be Confirm

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