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Hadoop Course Training

Hadoop Course Training Content & Details


Hadoop Course training in Hyderabad provided by Sreenu Technologies, Hyderabad. We provide IT trainings based on corporates standards that helps students to be prepare for industries. Sreenu Technologies offers best Hadoop training in Hyderabad. Sreenu Technologies is one of the best result oriented Hadoop Training Institute in Hyderabad, offers best practically, experimental knowledge in Hadoop training in ameerpet also. At Sreenu Technologies Hadoop training is conducted by 05+ years of experience in managing real-time projects. Sreenu Technologies Hyderabad, is providing advanced level of Hadoop Training with live projects with 100% placement assistance with top industries. Here, at Sreenu Technologies's laboratory are well-structured for Hadoop training in Hyderabad where contenders learn the career oriented skills to uphold the career path. Our Hadoop training course has designed according to the latest technologies which are using in corporation at high level. Sreenu Technologies structured Hadoop course content and syllabus in Hyderabad according to student's requirement to be prepare for industries through which candidates can easily get placement in their dreamed companies and corporations.

  • Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
  • This brief tutorial provides a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System.

    HADOOP Syllabus

    • 1. Hadoop Introduction
      • What is BigData?
      • What is Hadoop?
      • The Hadoop Distributed File System
      • Hadoop Map Reduce Works
      • Anatomy of a Hadoop Cluster
    • 2. Hadoop demons

      Master Daemons

      • Name node
      • Job Tracker
      • Secondary name node

      Slave Daemons

      • Job tracker
      • Task tracker
    • 3. HDFS(Hadoop Distributed File System)
      • HDFS Architecture
      • HDFS Blocks
      • HDFS Replication
      • Replica

        Replication Factor

        Under replication

        Over replication

        Load balancing

      • Heart beat mechanism
      • HDFS Write flow
      • HDFS Read flow
      • NameNode
      • SecondaryNameNode
      • HighAvailability
    • 4. Hadoop Installation
    • 5. Accessing HDFS
      • Browser
      • CLI Approach
      • JAVA Approach
    • 6. MapReduce
      • Understanding HADOOP API
      • Eclipse integration with HADOOP for Rapid Application Development
      • Examining a Sample MapReduce Program
      • With several examples
      • Basic API Concepts
      • The Driver Code
      • The Mapper
      • The Reducer
      • Hadoop's Streaming API
      • JobTracker
      • TaskTracker
      • YARN
    • 7. HADOOP Eco Systems

      A) PIG

      • Pig basics
      • Install and configure PIG on a cluster
      • PIG Vs MapReduce and SQL
      • Pig Vs Hive
      • Write sample Pig Latin scripts
      • Modes of running PIG
      • Running in Grunt shell

        Programming in Eclipse

        Running as Java program

      • PIG UDFs

      B) Hive

      • Introduction to Hive
      • Why Use Hive?
      • Comparing Hive to Traditional Databases
      • Hive Use Cases
      • Modeling and Managing Data with Hive
      • Data Storage Overview
      • Creating Databases and Tables
      • Loading Data into Tables

        C) Apache Sqoop

      • Pig basics
      • Sqoop Overview
      • Basic Imports and Exports
      • Limiting Results
      • Improving Sqoop’s Performance

        D) Other Ecosystems

      • Flume
      • Oozie
      • Zookeeper
    • 8. HBase
      • HBase  concepts
      • HBase  architecture
      • HBase  basics
      • HBase   use cases
      • Install and configure HBase on a multi node cluster
      • Create database, Develop and run sample applications
      • Access data stored in HBase  using clients like Java, Python and Pearl
      • HBase  and Hive Integration
      • HBase  admin tasks

Hadoop Course is Duration : 30 Days

Sreenu Technologies Proide Hadoop Classroom and Online Training

Morning:- 07:30AM

Evening:- 07:30PM

Weekends:- 09:00AM to 04:30PM