it contains information about history of hadoop, architecture of hadoop, concept of mapreduce,architecture of HDFS, Components of hadoop

1. Paper name : Big Data Analytics
Staff : Mrs M. Florence Dayana M. C. A., M.Phil., (Ph.D.)
Class : II- M.Sc.(Computer Science)
Semester : IV
Unit : IV
Topic : Hadoop Foundation for Analytics

2. Hadoop
Foundation
for Analytics

3. HISTORY OF HADOOP:
• Hadoop was created by Doug Cutting and Mike Cafarella. It is
created in 2005.
• Firstly, it was developed to support the distribution for the
Nutch search engine project.
• It was named by Doug after seeing his son’s toy elephant.
• By that time, he was worked in Yahoo.
• Hadoop is an open-source distributed processing framework.
It manages data processing and also storage for big data
applications running in clustered systems.

5. ARCHITECTURE OF HADOOP:
Hadoop has two major layers. They are
• Processing/Computation layer (Also called as MapReduce)
• Storage layer (Hadoop Distributed File System).
The Hadoop framework application works in an environment
that provides distributed storage and computation across
group of computers. Hadoop is designed in a way to handle
single server to thousands of machines, each offering local
computation and storage.

7. MAPREDUCE:

8. HDFS:

9. COMPONENTS OF HADOOP:
• Hive:
Hive is an open-source data warehouse framework that
structures and queries data using a SQL like language called
HiveQL.
• Ambari:
Ambari was designed to remove difficulties of Hadoop
management by providing a simple web interface that can
manage and monitor Apache Hadoop clusters.

10. • HBase:
HBase is an open-source and distributed database model that
provides random, real-time read/write access to your big data. It is a
non-relational database model HBase is a NoSQL Database for Hadoop.
• Pig:
Pig is an open-source technology that enables low cost storage and
processing of large sets of data, without requiring any specific formats.
• Zookeeper:
ZooKeeper is an open-source platform that provides a centralized
infrastructure. It is used for maintaining configuration information,
naming, providing distributed synchronization, and also providing group
services.