Hadoop Administration

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Course Overview

Xpertised Offers Advanced and Personalized Instructor Led Online Classroom training on Hadoop Administration which gives you the opportunity to interact with a Hadoop Administration instructor and help you enhance yourself to meet the demands of the industry.

Learn from our instructors from the convenience of your home or office. Interact and learn live with trainers and other participants. Keep track of Hadoop clusters’ day-to-day running Administer, plan and manage the overall infrastructure of hadoop Deploy new software and hardware environments required for Hadoop Ensure that the hadoop cluster is working all the time Backup and recovery tasks Troubleshooting application errors Review and manage Hadoop log files File system management and monitoring Monitor the cluster connectivity and performance

Course Content

Big Data Overview:

  • What is Big Data
  • Why Big Data is gaining popularity
  • Big Data Case Studies
  • Big Data Characteristics
  • Solutions to work on Big Data.

Hadoop& Its components:

  • What is Hadoop and what are its components.
  • Hadoop Architecture and its characteristics of Data it can handle /Process.
  • Brief on Hadoop History, companies using it and why they have started using it.
  • Hadoop Frame work & its components- explained in detail.
  • What is HDFS and Reads -Writes to Hadoop Distributed File System.
  • How to Setup Hadoop Cluster in different modes- Pseudo/Multi Node cluster.
  • This includes setting up Hadoop cluster in VM BOX/VMware or on individual machines, Network configurations that need to be carefully looked into, running Hadoop Daemons and testing the cluster.
  • What is Map Reduce frame work and how it works.
  • Running Map Reduce jobs on Hadoop cluster.
  • Understanding Replication , Mirroring and Rack awareness in context of Hadoop .
  • All the above topics include Demos and practice sessions for learners to have hands on experience on the technology.

Hadoop Cluster Planning:

  • How to plan your hadoop cluster.
  • Understanding hardware-software to plan your hadoop cluster.
  • Understanding workloads and planning cluster to avoid failures and perform optimum.

Working with Hadoop cluster- Hadoop Administration

  • Understanding functionalities of JOB TRACKER _ resource management and Job scheduling.
  • Understanding Schedulers- Fair | FIFO | capacity scheduler
  • Hadoop Administration: Setting paramters to Setup | Trash | Schedulers & pool | Metadata & Data storage at specific locations | replication | Hadoop client | commissioning and decommissioning of data nodes and many more.
  • Hadoop Administration commands to work on Hadoop clusters: Balancer | Job List, Status, Setting priority | Save namespace | Metasave | DFSadmin commands | FS commands | distcp | fsck |setting space quota | write /read access to HDFS | securing Hadoop cluster and many more.
  • Backup and recovery
  • Analyzing problems and resolving them : Some examples from live real time environments :
  • Hadoop daemons not starting up | namespace IDs out of sync | connectivity issues between slave and master nodes | data being under replicated | browsing through respective UIs | job failures | etc.

Hadoop cluster with latest features:

  • Hadoop 1.x and 2.x differences
  • Hadoop 2.x new features
  • What is Yarn, Federation and high Availability?
  • Hadoop daemons and what has changed.

Working on Hadoop 2.x cluster:

  • Upgrading Hadoop old versions ( 0.22.x or 1.X.X) to Hadoop 2.X in different modes
  • Setting up Hadoop 2.x clusters in different modes and verifying the setup.
  • Running Map Reduce jobs on Hadoop Yarn.
  • A revisit on Hadoop configuration files, deprecated parameters, add on's to existing config files and miscellaneous.
  • Understanding QJM-Quorum Journal Manager

Understanding and working with Hadoop Components:

  • What is oozie, flume, Hive, Hbase and why are they used.
  • How to setup Hive/PIG/Hbase on Hadoop clusters.
  • Setting up and working  with HIVE, HBASE, PIG on Hadoop 1.x or Hadoop 2.x
  • Some real time case studies.
  • What is cloudera Manager and how is it used.
  • How to run a mapreduce jobs from Java API.

Customer Reviews

Thanks to Xpertised and the tutor who walked me through all the topics with Practical exposure which is helping me in my current project.

Course was quite helpful in terms of understanding of concepts and practicality. Its really a very friendly environment to learn. The timing were mutually chosen, as we both are working professional. I am quite satisfied with the course.


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