Josh Innovations

Hadoop

By: Professor

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. Attend Hadoop Training demo by Real-Time Expert. Doug Cutting, Mike Cafarella and team developed HADOOP in 2005 by taking the solution provided by Google. Hadoop is an open source and Java-based programming framework. It is used for data processing and storage of large data sets in a distributed environment. It is a part of the Apache project sponsored by the Apache Software Foundation. It consists of computer clusters designed from commodity hardware. This Hadoop Online training course from Naresh I technologies is designed based on the demand in current IT market and also for Certification. Bigdata Hadoop is set to change the IT industries in a big way by processing the data. Hadoop uses structured, Semi-structured and Unstructured data.

Course Content

Hadoop

  • Hadoop Distributed File System
  • Hadoop Architecture
  • MapReduce & HDFS
  • Introduction to Pig
  • Introduction to Hive
  • Introduction to HBase
  • Other eco system Map
  • Moving the Data into Hadoop
  • Moving The Data out from Hadoop
  • Reading and Writing the files in HDFS using java program
  • The Hadoop Java API for MapReduce
  • Mapper Class
  • Reducer Class
  • Driver Class
  • Writing Basic MapReduce Program In java
  • Understanding the MapReduce Internal Components
  • Hbase MapReduce Program
  • Hive Overview
  • Working with Hive
  • Pig Overview
  • Working with Pig
  • Sqoop Overview
  • Moving the Data from RDBMS to Hadoop
  • Moving the Data from RDBMS to Hbase
  • Moving the Data from RDBMS to Hive
  • Flume Overview
  • Moving The Data from Web server Into Hadoop
  • Real Time Example in Hadoop
  • Apache Log viewer Analysis
  • Market Basket Algorithms
  • Big Data Overview
  • Introduction In Hadoop and Hadoop Related Eco System.
  • Choosing Hardware For Hadoop Cluster nodes
  • Standalone Mode
  • Pseudo Distributed Mode
  • Fully Distributed Mode
  • Zookeeper Installation
  • Hbase Installation
  • Hive Installation
  • Pig Installation
  • Sqoop Installation
  • Installing Mahout
  • Cloudera Installation
  • Hadoop Commands usage
  • Import the data in HDFS
  • Sample Hadoop Examples (Word count program and Population problem)
  • Monitoring Hadoop Cluster with Ganglia
  • Monitoring Hadoop Cluster with Nagios
  • Monitoring Hadoop Cluster with JMX
  • Hadoop Configuration management Tool
  • Hadoop Benchmarking

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