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Hadoop Administration

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Course type: Online Instructor led Course

Platform: gotomeeting

Course ID: 38317

Course type: Online Instructor led Course

Platform: gotomeeting

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About the Course


Module 1 – Introduction to BigData & Hadoop

  • What is BigData

  • The amount of data processing in today’s life

  • What Hadoop is why it is important?

  • Hadoop comparison with traditional systems

  • Hadoop history

  • Hadoop main components and architecture

Module 2 – Hadoop Distributed File System (HDFS)

  • HDFS overview and design

  • HDFS architecture

  • HDFS file storage

  • HDFS Daemons and their importance

  • HDFS Daemons failure cases

  • Block Size

Module 3 – Planning your Hadoop cluster

  • Planning a Hadoop cluster and its capacity

  • Hadoop software and hardware configuration

  • HDFS Block replication and rack awareness

Module 4 – Hadoop Deployment

  • Different Hadoop deployment types

  • Hadoop distribution options

  • Hadoop competitors

  • Prerequisites of Hadoop Installation

  • SSH, Java

  • Hadoop installation (Single Node & Multi Node)

  • Configuration of Hadoop cluster

  • Parameters used in configuration

  • Distributed cluster architecture

Module 5 – Working with HDFS

  • HDFS Write Anatomy

  • HDFS Read Anatomy

  • Ways of accessing data in HDFS

  1. CLI(Command Line Interface)

  2. WEB UI

  • Common HDFS operations and commands

  • DFSADMIN commands

Module 6 – Mapreduce

  • What is MapReduce and why it is popular

  • The Big Picture of the MapReduce

  • MapReduce process and terminology

  • MapReduce Deamons & their importance

  • MapReduce components failures and recoveries

  • Working with MapReduce

  • Monitoring Running Jobs

  • YARN Introduction

Module 7-Installation & Management of Hadoop Eco systems

  • pig

  • Hive

  • Hive metastore

  • HBase

  • Sqoop

  • Flume

  • Oozie

Module 8 - Getting Data from External sources to Hadoop Cluster

  • Sqoop

  • Importing data from RDBMS(Mysql & Oracle) to Hadoop Cluster

  • Exporting data to RDBMS from Hadoop Cluster

  • Flume

  • Importing logs from other resources

  • Twitter Analysis

Module 9 – Hadoop Cluster Configuration & Performance tuning

  • Hadoop configuration overview and important configuration files

  • Configuration parameters and values

  • HDFS parameters

  • MapReduce parameters

Module 10 – Hadoop Administration and Maintenance

  • Namenode/Datanode directory structures and files

  • File system image and Edit log

  • The Checkpoint Procedure

  • Namenode failure and recovery procedure

  • Safe Mode

  • Metadata and Data backup

  • Potential problems and solutions / what to look for

  • Commissioning & Decommissioning of nodes

  • Balancing

Module 11– Hadoop Monitoring and Troubleshooting

  • Best practices of monitoring a Hadoop cluster

  • Using logs and stack traces for monitoring and troubleshooting

  • Using open-source tools to monitor Hadoop cluster

  • Monitoring Hadoop Cluster using Cloudera Manager

Module 12 – Job Scheduling

  • How to schedule Hadoop Jobs on the same cluster

  • Default Hadoop FIFO Schedule

  • Fair Scheduler and its configuration

  • Example of Job Scheduling using Oozie

Module 13 – High Availability Federation, Yarn and Security

-----Cloudera Security-Kerberos-TLS/SSL Encryption-CDH Encryption-Sentry.

Date and Time

Not decided yet.

About the Trainer

Rakesh picture

Avg Rating

0 Reviews

0 Students

1 Courses


Hadoop Administrator

4 Years of Experience

Hadoop Administrator- 2015 to till date.
Online tutor- 4 Yrs.
Hadoop Consultant - Sunmars technologies, Hyderabad 8 months.
Network Engineer- Aster pvt ltd. 9 months.


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