HDP OVERVIEW: APACHE HADOOP ESSENTIALS – GTHDP15

Course Overview

UPCOMING TRAINING EVENTS

CORK | 3rd April 2017| BOOK HERE

There may be some Skillnet subsidised places (@ €450) available on these courses – CONTACT US to check

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. (There are no hands-on labs for this course).

 Course Objectives

  • 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)
  • YARN
  • MapReduce
  • Hadoop frameworks: (Pig, Hive, HCatalog, Storm, Solr, Spark, HBase, Oozie, Ambari, ZooKeeper, Sqoop, Flume, and Falcon)
  • Recognize use cases for Hadoop
  • Describe the business value of Hadoop
  • Describe new technologies like Tez and the Knox Gateway

Certification

Hortonworks offers a comprehensive certification program that identifies you as an expert in Apache Hadoop. Visit

hortonworks.com/training/certification for more information.

Hortonworks University

Hortonworks University is your expert source for Apache Hadoop training and certification. Public and private on-site courses are available for developers, administrators, data analysts and other IT professionals involved in implementing big data solutions.

Classes combine presentation material with industry-leading hands-on labs that fully prepare students for real-world Hadoop scenarios.

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Duration

1 Day

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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.

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Course Prerequisites

No previous Hadoop or programming knowledge is required.(For onsite courses, students will need browser access to the Internet.)

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Suggested Follow on Courses

Please contact us for further details.

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