HDP Overview: Apache Hadoop Essentials

A Technical Understanding for Business Users and Decision Makers
Overview
This course provides a technical overview of Apache Hadoop. Itincludes 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

Duration

1 day

Target Audience:

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.

Course Objectives:

This course will cover :

  • 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

Prerequisites:

  • No previous Hadoop or programming knowledge is required.Students will need browser access to the Internet.

Lab Content:

There are no required labs in order to complete this course. Attendees have the option of installing the Hortonworks Sandbox and working through the demonstrations.

Resources

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