Cloudera Administrator Training for Apache Hadoop (CATAH)

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$2,995.00

New Age Technologies has been delivering Authorized Training since 1996. We offer Cloudera’s full suite of authorized courses including courses pertaining to Spark, Apache Hadoop, HBase, MapReduce, Data Science, and more. If you have any questions or can’t seem to find the Cloudera class that you are interested in, contact one of our Cloudera Training Specialists. Invest in your future today with Cloudera training from New Age Technologies.

Cloudera Training Specialists | ☏ 502.909.0819

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Cloudera Administrator Training for Apache Hadoop Overview:

The Cloudera Administrator Training for Apache Hadoop hands-on training course provides participants with a comprehensive understanding of all the steps necessary to operate and maintain a Hadoop cluster. 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.

Through lecture and interactive, hands-on exercises, you will cover topics such as:

  • Introduction to Apache Hadoop and HDFS
  • Apache Hadoop architecture
  • Proper cluster configuration and deployment
  • Populating HDFS using Apache Sqoop
  • Management and monitoring tools
  • Job scheduling
  • Best practices for maintaining Apache Hadoop in Production
  • Installing and managing other Apache Hadoop projects
  • Diagnosing, tuning and solving Apache Hadoop issues

Cloudera Administrator Training for Apache Hadoop Prerequisites:

  • Systems administrators and IT managers who have basic Linux experience. Prior knowledge of Apache Hadoop is not required

Cloudera Administrator Training for Apache Hadoop Objectives:

After successfully completing this course, you will be able to:

  • Understand the internals of YARN, MapReduce, and HDFS
  • Determine the correct hardware and infrastructure for your cluster
  • Understand proper cluster configuration and deployment to integrate with the data center
  • Load data into the cluster from dynamically-generated files using Flume and from RDBMS using Sqoop
  • Configure the FairScheduler to provide service-level agreements for multiple users of a cluster
  • Understand best practices for preparing and maintaining Apache Hadoop in production
  • Troubleshoot, diagnose, tune, and solve Hadoop issues

Cloudera Administrator Training for Apache Hadoop Certification:

  • Cloudera Certified Administrator for Apache Hadoop (CCAH)

Cloudera Administrator Training for Apache Hadoop Outline:

Module 1: The Case for Apache Hadoop
  • Why Hadoop?
  • Fundamental Concepts
  • Core Hadoop Components
Module 2: Hadoop Cluster Installation
  • Rationale for a Cluster Management Solution
  • Cloudera Manager Features
  • Cloudera Manager Installation
  • Hadoop (CDH) Installation
Module 3: The Hadoop Distributed File System (HDFS)
  • HDFS Features
  • Writing and Reading Files
  • NameNode Memory Considerations
  • Overview of HDFS Security
  • Web UIs for HDFS
  • Using the Hadoop File Shell
Module 4: MapReduce and Spark on YARN
  • The Role of Computational Frameworks
  • YARN: The Cluster Resource Manager
  • MapReduce Concepts
  • Apache Spark Concepts
  • Running Computational Frameworks on YARN
  • Exploring YARN Applications Through the Web UIs, and the Shell
  • YARN Application Logs
Module 5: Hadoop Configuration and Daemon Logs
  • Cloudera Manager Constructs for Managing Configurations
  • Locating Configurations and Applying Configuration Changes
  • Managing Role Instances and Adding Services
  • Configuring the HDFS Service
  • Configuring Hadoop Daemon Logs
  • Configuring the YARN Service
Module 6: Getting Data Into HDFS
  • Ingesting Data From External Sources With Flume
  • Ingesting Data From Relational Databases With Sqoop
  • REST Interfaces
  • Best Practices for Importing Data
Module 7: Planning Your Hadoop Cluster
  • General Planning Considerations
  • Choosing the Right Hardware
  • Virtualization Options
  • Network Considerations
  • Configuring Nodes
Module 8: Installing and Configuring Hive, Impala, and Pig
  • Hive
  • Impala
  • Pig
Module 9: Hadoop Clients Including Hue
  • What Are Hadoop Clients?
  • Installing and Configuring Hadoop Clients
  • Installing and Configuring Hue
  • Hue Authentication and Authorization
Module 10: Advanced Cluster Configuration
  • Advanced Configuration Parameters
  • Configuring Hadoop Ports
  • Configuring HDFS for Rack Awareness
  • Configuring HDFS High Availability
Module 11: Hadoop Security
  • Why Hadoop Security Is Important
  • Hadoop’s Security System Concepts
  • What Kerberos Is and how it Works
  • Securing a Hadoop Cluster With Kerberos
  • Other Security Concepts
Module 12: Managing Resources
  • Configuring cgroups with Static Service Pools
  • The Fair Scheduler
  • Configuring Dynamic Resource Pools
  • YARN Memory and CPU Settings
  • Impala Query Scheduling
Module 13: Cluster Maintenance
  • Checking HDFS Status
  • Copying Data Between Clusters
  • Adding and Removing Cluster Nodes
  • Rebalancing the Cluster
  • Directory Snapshots
  • Cluster Upgrading
Module 14: Cluster Monitoring and Troubleshooting
  • Cloudera Manager Monitoring Features
  • Monitoring Hadoop Clusters
  • Troubleshooting Hadoop Clusters
  • Common Misconfigurations

Average Salary for Skill: Hadoop

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