Hortonworks Data Platform (HDP) for Administrators Training Course

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Last updated

Course Code

hdp

Duration

21 hours (usually 3 days including breaks)

Requirements

  • An understanding of Hadoop and big data.
  • An understanding of Spark.
  • Familiarity with the command line.
  • System administration experience.

Audience

  • Hadoop administrators

Overview

Hortonworks Data Platform (HDP) is an open-source Apache Hadoop support platform that provides a stable foundation for developing big data solutions on the Apache Hadoop ecosystem.

This instructor-led, live training (online or onsite) introduces Hortonworks Data Platform (HDP) and walks participants through the deployment of Spark + Hadoop solution.

By the end of this training, participants will be able to:

  • Use Hortonworks to reliably run Hadoop at a large scale.
  • Unify Hadoop's security, governance, and operations capabilities with Spark's agile analytic workflows.
  • Use Hortonworks to investigate, validate, certify and support each of the components in a Spark project.
  • Process different types of data, including structured, unstructured, in-motion, and at-rest.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.

Course Outline

Introduction to Hortonworks Data Platform (HDP)

Overview of Big Data and Apache Hadoop

Installing and Configuring HDP

Setting up, Deploying, and Managing Hadoop Cluster

Understanding and ConfiguringYARN and MapReduce

Overview of Job Scheduling

Ensuring Data Integrity

Understanding Enterprise Data Movement

Using HDFS Commands & Services

Transferring Data Using Flume

Working with Hive

Scheduling Workflow Using Oozie

Exploring Hadoop 2.x

Understanding Hbase Architecture

Monitoring HDP2 Services Using Ambari

New Features in HDP

Troubleshooting

Summary and Conclusion

Course Discounts

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