Authorised Cloudera Administrator Training For Apache Hadoop | 4 Days

Xebia IT Architects India Private Limited
In Gurgaon

Rs 74,400
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Important information

Typology Training
Level Beginner
Location Gurgaon
Duration 4 Days
  • Training
  • Beginner
  • Gurgaon
  • Duration:
    4 Days

Xebia is the authorised Cloudera training partner. We are running more than 3 batches per month of Cloudera with certifictions.

Where and when
Starts Location
On request
122002, Haryana, India
See map
Starts On request
122002, Haryana, India
See map

Frequent Asked Questions

· What are the objectives of this course?

Hands-On Hadoop Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as: The internals of YARN, MapReduce, and HDFS Determining the correct hardware and infrastructure for your cluster Proper cluster configuration and deployment to integrate with the data center How to load data into the cluster from dynamically-generated files using Flume and from RDBMS using Sqoop Configuring the FairScheduler to provide service-level agreements for multiple users of a cluster Best practices for preparing and maintaining Apache Hadoop in production Troubleshooting, diagnosing, tuning, and solving Hadoop issues

· Who is it intended for?

This course is best suited to systems administrators and IT managers who have basic Linux experience.

· Requirements

Prior knowledge of Apache Hadoop is not required.

What you'll learn on the course

Cloudera Administrator

Teachers and trainers (1)

Xebia Xebia
Xebia Xebia

Course programme

Cloudera Administrator Training for Apache Hadoop

Course Outline:


  • The Case for Apache Hadoop
  • Why Hadoop?
  • Core Hadoop Components
  • Fundamental Concepts


  • HDFS Features
  • Writing and Reading Files
  • NameNode Memory Considerations
  • Overview of HDFS Security
  • Using the Namenode Web UI
  • Using the Hadoop File Shell

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

YARN and MapReduce

  • What Is MapReduce?
  • Basic MapReduce Concepts
  • YARN Cluster Architecture
  • Resource Allocation
  • Failure Recovery
  • Using the YARN Web UI
  • MapReduce Version 1

Planning Your Hadoop Cluster

  • General Planning Considerations
  • Choosing the Right Hardware
  • Network Considerations
  • Configuring Nodes
  • Planning for Cluster Management Hadoop

Installation and Initial Configuration

  • Deployment Types
  • Installing Hadoop
  • Specifying the Hadoop Configuration
  • Performing Initial HDFS Configuration
  • Performing Initial YARN and

MapReduce Configuration

  • Hadoop Logging

Installing and Configuring Hive, Impala, and Pig

  • Hive
  • Impala
  • Pig

Hadoop Clients

  • What is a Hadoop Client?
  • Installing and Configuring Hadoop Clients
  • Installing and Configuring Hue
  • Hue Authentication and Authorization

Cloudera Manager

  • The Motivation for Cloudera Manager
  • Cloudera Manager Features
  • Express and Enterprise Versions
  • Cloudera Manager Topology
  • Installing Cloudera Manager
  • Installing Hadoop Using Cloudera Manager
  • Performing Basic Administration Tasks Using Cloudera Manager

Advanced Cluster Configuration

  • Advanced Configuration Parameters
  • Configuring Hadoop Ports
  • Explicitly Including and Excluding Hosts
  • Configuring HDFS for Rack Awareness
  • Configuring HDFS High Availability

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

Managing and Scheduling Jobs

  • Managing Running Jobs
  • Scheduling Hadoop Jobs
  • Configuring t

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