Bigdata Hadoop Development

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Hadoop Development course teaches the skill set required for the learners how to setup Hadoop Cluster, how to store Big Data using Hadoop (HDFS) and how to process/analyze the Big Data using Map-Reduce Programming or by using other Hadoop ecosystems. Hadoop course will equip you with all the skills you’ll needfor your next Big Data assignment. You will learn to work with Hadoop’s Distributed File System, its processing and computation frameworks, core Hadoop distributions, and vendor-specific distributions such as Cloudera. You will learn the need for cluster management solutions and how to set up, secure, safeguard and monitor clusters and their components such as Sqoop, Flume, Pig, Hive and Hbase with this Big Data Hadoop course.

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About the course

Hadoop Development course teaches the skill set required for the learners how to setup Hadoop Cluster, how to store Big Data using Hadoop (HDFS) and how to process/analyze the Big Data using Map-Reduce Programming or by using other Hadoop ecosystems. Hadoop course will equip you with all the skills you’ll needfor your next Big Data assignment. You will learn to work with Hadoop’s Distributed File System, its processing and computation frameworks, core Hadoop distributions, and vendor-specific distributions such as Cloudera. You will learn the need for cluster management solutions and how to set up, secure, safeguard and monitor clusters and their components such as Sqoop, Flume, Pig, Hive and Hbase with this Big Data Hadoop course.

Course Contents

Introduction to BigData, Hadoop
  • Big Data Introduction
  • Hadoop Introduction
  • What is Hadoop? Why Hadoop?
  • Hadoop History?
  • Different types of Components in Hadoop?
  • HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on
  • What is the scope of Hadoop?
Deep Drive in HDFS (for Storing the Data)
  • Introduction of HDFS
  • HDFS Design
  • HDFS role in Hadoop
  • Features of HDFS
  • Daemons of Hadoop and its functionality
  • Name Node
  • Secondary Name Node
  • Job Tracker
  • Data Node
  • Task Tracker
  • Anatomy of File Wright
  • Anatomy of File Read
  • Network Topology
  • Nodes
  • Racks
  • Data Center
  • Parallel Copying using DistCp
  • Basic Configuration for HDFS
  • Data Organization
  • Blocks and Replication
  • Rack Awareness
  • Heartbeat Signal
  • How to Store the Data into HDFS
  • How to Read the Data from HDFS
  • Accessing HDFS (Introduction of Basic UNIX commands)
  • CLI commands
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hadoop-development

Course Prerequisites

  • Basic Unix Commands
  • Core Java (OOPS Concepts, Collections , Exceptions ) for Map Reduce Programming
  • SQL Query knowledge for Hive Queries

Who should attend?

  • Working professionals in IT / Analytics / Statistics / Big Data / Machine Learning
  • Fresh graduates from Engineering / Mathematics / IT backgrounds
  • Professionals looking to develop skills to do statistical analysis to support decision making

Number of Hours: 40hrs

Certification

CCA - 175

Keyfeatures

  • One to One Training
  • Online Training
  • Fastrack & Normal Track
  • Resume Modification
  • Mock Interviews
  • Video Tutorials
  • Materials
  • Real Time Projects
  • Virtual Live Experience
  • Preparing for Certification

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TechyEdz Software Specialization in developing customized suite of HR consulting solutions based on the operational models of our clients with a special focus on small & Large Enterprises. We bring practical, results driven HR Practice to our clients business that would help them retain people, Improve business productivity and performance of employee.