OnDemand Library

Components

Cloudera University Security Training - OnDemand

This course, which is offered exclusively through OnDemand, introduces experienced system administrators to some of the tools and techniques that Cloudera’s Solution Architects use to protect the clusters that our customers rely on for essential business operations.

After successfully completing this course, the student will be able to:

  • Describe security in the context of Hadoop
  • Assess threats to a production Hadoop cluster
  • Plan and deploy defenses against these threats
  • Improve the security of each node in the cluster
  • Set up authentication with Kerberos and Active Directory
  • Use permissions and ACLs to control access to files in HDFS
  • Use Apache Sentry to control data access
  • Perform common key management tasks
  • Use encryption to protect data in motion and at rest
  • Monitor a cluster for suspicious activity
  • Understand additional security considerations, including data governance and disaster recovery

View the Security Training course outline

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Cloudera University OnDemand Full Developer Library

The Cloudera University OnDemand Full Developer Library subscription provides access to all the courses listed below via our OnDemand portal for one year and includes 100 hours of access to the cloud hosted hands-on exercise environments.

  • Cloudera Developer Training for Spark and Hadoop
  • Cloudera Data Analyst Training: Using Pig, Hive, and Impala with Hadoop
  • Cloudera Search Training
  • Cloudera Training for Apache HBase
  • Data Science at Scale on Spark and Hadoop
  • Just Enough Python
  • Just Enough Scala
  • Introduction to Apache Kafka
  • Introduction to Apache Kudu
  • Introduction to Machine Learning with Spark ML and MLlib


View the OnDemand Data Sheet

**NOTE: this offering does not include the Administrator course.

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Cloudera University Administrator Training - OnDemand

Cloudera University’s administrator training course for Apache Hadoop provides participants with a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster using Cloudera Manager. From installation and configuration through load balancing and tuning, Cloudera’s training course is the best preparation for the real-world challenges faced by Hadoop administrators.


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Courses

Cloudera OnDemand Developer Library

The Cloudera University OnDemand Developer Library subscription provides access to all the courses listed below via our OnDemand Portal for one year and includes 100 hours of access to the cloud hosted hands-on exercise environments.

  • Cloudera Developer Training for Spark and Hadoop
  • Cloudera Data Analyst Training: Using Pig, Hive, and Impala with Hadoop
  • Cloudera Search Training
  • Cloudera Training for Apache HBase
  • Cloudera Data Science Workbench Training
  • Just Enough Python
  • Just Enough Scala
  • Introduction to Apache Kafka
  • Introduction to Apache Kudu
  • Introduction to Machine Learning with Spark ML and MLlib

View the OnDemand Training overview

 

**NOTE: this offering does not include the Administrator course.

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Cloudera OnDemand Full Library

The Cloudera University OnDemand Library subscription provides access to all the courses listed below via our OnDemand Portal for one year and includes 100 hours of access to the cloud hosted hands-on exercise environments.

  • Cloudera Administrator Training for Apache Hadoop
  • Cloudera Developer Training for Spark and Hadoop
  • Cloudera Data Analyst Training: Using Pig, Hive, and Impala with Hadoop
  • Cloudera Security Training (NEW!)
  • Cloudera Search Training
  • Cloudera Training for Apache HBase
  • Cloudera Data Science Workbench (NEW!)
  • Just Enough Python
  • Just Enough Scala
  • Introduction to Apache Kafka
  • Introduction to Apache Kudu
  • Deploying and Scaling Cloudera Enterprise on Microsoft Azure (NEW!)
  • Introduction to Cloudera Altus Director
  • Introduction to Cloudera Navigator
  • Introduction to Cloudera Manager
  • Cloudera Essentials 

View the OnDemand Training overview

 

 

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