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Big Data Hadoop Administration Training

Big Data Hadoop Administration Training

About Big Data Hadoop Administration Training

Hadoop Administration Training Course offers all the skills to become successful as a Hadoop Administrator. This training course includes all fundamentals of Hadoop, Hadoop Clusters, HDFS, MapReduce and HBase. Our Big Data expert trainers can help you learn and master in working with Hadoop clusters and deploy that data on real-world projects. 

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About Course

What is Big Data Hadoop Administrator?

Hadoop Admins itself is a title that covers a lot of various niches within the big data world. Depending on the size of the company they work for, Hadoop administrator might also be involved with performing DBA like tasks with HBase and Hive databases, security administration and cluster administration.

What does a Big Data Hadoop Administrator do? 

Hadoop Administrator is responsible for implementation and support of the Enterprise Hadoop environment. They involve designing, capacity arrangement, cluster set up, performance fine-tuning, monitoring, structure planning, scaling and administration.

Why learn Big Data Hadoop Administrator?

Hadoop is the most significant framework for working with big data in a distributed environment. Because of the rapid deluge of big data required for real-time insights from huge volumes of data, the job of the Hadoop administrator is crucial to large organizations. Hence there's a huge demand for professionals with the proper skills and certification. We are offering the industry designed Hadoop administration training to help you learn this domain.

What you’ll learn in Big Data Hadoop Administration Training?

  • Learn regarding Hadoop architecture and its main elements
  • Learn Hadoop installation and configuration
  • Deep dive into Hadoop Distributed File System (HDFS)
  • Understand MapReduce abstraction and its working
  • Troubleshoot cluster problems and recover from Node failures
  • Learn about Apache, Hive, Pig, Ooozie, Sqoop, and Flume
  • Optimize Hadoop cluster for high performance

Who should take this course?

  • Hadoop Developers, Admin, and Architects
  • IT managers, Support Engineers, QA professionals
  • Graduates and professionals trying to upgrade their skills in the cloud computing domain

Prerequisites

  • No prerequisites needed for taking this Hadoop administration training. Having a basic knowledge of Linux will help.

Big Data Hadoop Administrator Course Highlights

  • Understand big data and Hadoop ecosystem concepts
  • Monitor the Hadoop Distributed file system
  • Proper cluster configuration and deployment to integrate with the data center
  • Allocate, distribute and manage resources
  • Hands-On Hadoop Ecosystem:
      • The internals of YARN, Map Reduce, HDFS, and Cloudera Manager
      • Determining the correct hardware and infrastructure for your cluster
      • Proper cluster configuration and deployment to integrate with the data center
      • Implementing High Availability, failover, and recovery
      • Setting up Name Node Federation
      • Configuring the Fair Scheduler to provide service-level agreements for multiple users of a cluster
      • Security and up-gradation of Hadoop cluster
      • Understanding Integration of Hadoop Cluster with Hive, HBase, Pig, Flume and from RDBMS using Sqoop
      • Troubleshooting, diagnosing, tuning, and solving Hadoop issues
  • Working on real-life industry-based projects
  • Group discussions, Mock interview sessions, and Interview questions to prepare you to attend interviews with confidence.
  • Access to the instructor through email to address any questions.

How EnhanceLearn Training can help you

  • 48 Hours of hands-on session per batch and once enrolled you can take any number of batches for 90 days
  • 24x7 Expert Support and GTA (Global Teaching Assistant, SME) support available even to schedule a one on one session for doubt clearing
  • Project Based learning approach with evaluation after each module
  • Project Submission mandatory for Certification and thoroughly evaluated
  • 3 Months Experience Certificate on successful project completion

For becoming a Hadoop Admin expert, choose our best Training and Placement Program. If you are interested in joining the EnhanceLearn team, please email at training@enhancelearn.com.

Course Curriculum

Module 1: Installation of Hadoop and Hadoop Ecosystems

  • Installation of Hadoop components and ecosystems
    • Hive
    • Sqoop
    • Pig
    • Scala
    • Spark
  • Apache Hadoop Installation and Configuration

Module 2: Introduction to Big Data Hadoop

  • Introduction to Big Data & Hadoop and its Ecosystem
  • Map Reduce and HDFS – The importance of Big Data
  • How Hadoop fit into the framework
  • YARN – Resource Manager, Node Manager

Module 3: Hadoop Administration – Multi Node Cluster Setup using Amazon EC2

  • How to create a Hadoop cluster with 4 nodes
  • Working with cluster and deploying a MapReduce job
  • How to write a MapReduce code and setting up the Cloudera Manager

Module 4: Hadoop Administration – Cluster Configuration

  • Significance of the configuration files
  • Configuration values and parameters
  • The parameters of Hadoop distributed file system
  • Setting up the Hadoop environment
  • Detailed configuration files like ‘Include’ and ‘Exclude’
  • The directory structure and files of Name node and Data node
  • Edit log and File system image for Hadoop administration and maintenance
  • Hadoop Distributed File System
    • Replications
    • Block Size
    • Secondary Name node
    • Resource Manager High Availability
  • RM HA overview
  • HDFS Design/Architecture
  • HDFS Components
  • Rack Awareness
  • HDFS read/write operations
  • HDFS CLI
  • Commissioning and De-commissioning of nodes
  • MR overview
  • YARN Architecture and advantages over MR
  • YARN Job flow
  • YARN Components
  • YARN Schedulers
  • YARN Log Files
  • How MapReduce Works
  • How Driver works
  • Combiners
  • Partitioners
  • Input/Output Formats
  • Shuffle and Sort
  • Hive Overview
  • Hive Components
  • HBase Overview
  • Difference between Hive and HBase
  • Introduction
  • Data model
  • Service
  • Use cases
  • Znodes
    • Types of Znodes
    • Znodes operations
    • Znodes watches
    • Reads/Writes of Znodes
  • Cluster management
  • Leader election
  • Consistency guarantees
  • Introduction
  • Installation
  • Running an example
  • Workflow engine
  • Workflow submission
  • Workflow application
  • Workflow state transitions
  • Coordinator
  • Bundle
  • Time line of Oozie job
  • Abstraction layers
  • Use cases
    • Time triggers
    • Rolling window
    • Data triggers
  • Introduction & Uses
  • Sqoop processing
  • Execution process
  • Import process
  • Connectors
  • Sample commands
  • Events
  • Clients
  • Agents
  • Sinks
  • Source
  • Introduction
  • Data sources
  • Core concepts
  • Channel selector
  • Data ingest
  • Routing and replicating
  • Use cases
    • Log aggregation
  • Adding Flume agent
  • Data volume per agent
  • Flume deployment example
  • Deploying the checkpoint procedure
  • Working with Metadata
  • Data backup
  • Name node failure and recovery procedure
  • Troubleshooting to resolve the various problems
  • Knowing what to look for
  • Node removal and more
  • The best practices in using the JMX tool for cluster monitoring
  • Working with stack traces
  • Using logs to monitor and troubleshoot
  • Deploying the various open source tools for cluster monitoring
  • How to deploy the Job Scheduler
  • The process of job submission flow in MapReduce
  • Scheduling of jobs on same cluster
  • FIFO scheduling
  • Fair Scheduler configuration
  • Hadoop advanced administration
  • Quorum Journal Manager
  • HDFS security and configuring Hadoop federation
  • The Hadoop platform security fundamentals
  • The process to secure the Hadoop platform
  • The importance of Kerberos
  • Integrating with the Hadoop platform
  • Hadoop cluster configuration with Kerberos
  • Working on Live Projects (as applicable)

 

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Big Data Hadoop Administration Training
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Job Overview
Key Features
Training FAQs
What are the advantages of Hadoop training?

Hadoop is changing the perception of handling big data specially unstructured data. It plays a significant role in handling and managing big data by enabling efficient surplus data for any distributed processing system across clusters of computers using easy programming models.

What does a Big Data Hadoop Administrator do? 
Why should I learn Hadoop?
I have knowledge of Linux. Do I get any further benefit while learning Hadoop?
What are the different job roles in Hadoop?
How Hadoop Developer course is different from Hadoop Administration course?
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Reviews
K
Kanika Nayar 
Nice Experience

EnhanceLearn seems to be the best online learning platform for the latest technologies. I highly recommend EnhanceLearn to every learner who is interested in Hadoop training.

J
Jobin Dalal 
Recommeded Training. Better than other training providers.

I am more than satisfied with the Hadoop training provided to me by EnhanceLearn's teachers. I was familiar with the concepts of Big Data Hadoop but EnhanceLearn took it to a different level with their attention to details. Awesome Job EnhanceLearn!

K
Krishna Ram 
Great Course!

The Hadoop training offered by EnhanceLearn.com has delivered more than what was expected. I had a really bad experience in the past with another training company but here on EnhanceLearn, all my pre-purchase questions were clearly answered by the support team. EnhanceLearn provided me with an amazing trainer who helps me boost my knowledge with his Hadoop domain expertise. I would recommend this training to all my friends and everyone who is reading this review.

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