Hadoop Training
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About Hadoop Training
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 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.
Hadoop Training Course Objectives
Hadoop Course Objective
After completion of the Hadoop Course, you will be expertise and eligible for:
- Complete knowledge of all components in Hadoop like MapReduce, Sqoop, HBase, Hive, Pig, HDFS, Flume, ZooKeeper, Oozie, etc.
- Able to work on Hadoop related Project independently
- Setup/Install/Configure Hadoop in Dev/Support/Test environment
- Understand architecture of Hadoop and various operations performed on it
- Familiar with standard solutions
Who should go for this course
- Any IT experienced Professional who is interested to work on IT job related to Data Science, Bigdata, Hadoop, etc.
- Any B.E/ B.Tech/ BSC/ MCA/ M.Sc Computers/ M.Tech/ BCA/ BCom College Students in any stream.
- Fresh Graduates.
Pre-requisites
The course can learn by any IT professional having basic knowledge of:
- Unix/Linux Operating System
- Core Java
- Database concepts of SQL
COURSE SYLLABUS
Introduction to Hadoop
- Hadoop Distributed File System - Hadoop Architecture - MapReduce & HDFS
Hadoop Eco Systems
- Introduction to Pig - Introduction to Hive - Introduction to HBase - Other eco system Map
Hadoop Developer
- 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
Apache Hadoop Installation
- Standalone Mode - Pseudo Distributed Mode - Fully Distributed Mode
Installing Hadoop Eco System and Integrate With Hadoop
- Zookeeper Installation - Hbase Installation - Hive Installation - Pig Installation - Sqoop Installation - Installing Mahout
Horton Works Installation
- Cloudera Installation - Hadoop Commands usage - Import the data in HDFS - Sample Hadoop Examples (Word count program and Population problem)
Monitoring The Hadoop Cluster
- Monitoring Hadoop Cluster with Ganglia - Monitoring Hadoop Cluster with Nagios - Monitoring Hadoop Cluster with JMX - Hadoop Configuration management Tool - Hadoop Benchmarking
Training Features
Instructor-Led Training Sessions
We believe to provide our students the Best interactive experience as part of their learning
Flexible Schedule
Do not hesitate to ask… because we will work according to your calendar
Industry Specific Scenarios
Students are provided with all the Real-Time and Relevant Scenarios
Expert Trainers
We Constantly evaluate our trainers and only the “Best” Provides the Training
e-Learning Sessions
Online training sessions are held Live and we provide students with the Training Videos
Support
No Problem@ all…!!! Your Question will be answered by Us as soon as possible