what is HADOOP?
1. What Is Apache Hadoop?
The Apache™ Hadoop® project develops open-source software for reliable, scalable,
distributed computing.
The Apache Hadoop software library is a framework that allows for the distributed
processing of large data sets 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. Rather than rely on hardware to deliver high-availability, the
library itself is designed to detect and handle failures at the application layer, so delivering a
highly-available service on top of a cluster of computers, each of which may be prone to
failures.
The project includes these modules:
• Hadoop Common: The common utilities that support the other Hadoop modules.
• Hadoop Distributed File System (HDFS™): A distributed file system that provides
high-throughput access to application data.
• Hadoop YARN: A framework for job scheduling and cluster resource management.
• Hadoop MapReduce: A YARN-based system for parallel processing of large data sets.
Other Hadoop-related projects at Apache include:
• Ambari™: A web-based tool for provisioning, managing, and monitoring Apache
Hadoop clusters which includes support for Hadoop HDFS, Hadoop MapReduce, Hive,
HCatalog, HBase, ZooKeeper, Oozie, Pig and Sqoop. Ambari also provides a dashboard
for viewing cluster health such as heatmaps and ability to view MapReduce, Pig and Hive
applications visually alongwith features to diagnose their performance characteristics in a
user-friendly manner.
• Avro™: A data serialization system.
• Cassandra™: A scalable multi-master database with no single points of failure.
• Chukwa™: A data collection system for managing large distributed systems.
• HBase™: A scalable, distributed database that supports structured data storage for large
tables.
• Hive™: A data warehouse infrastructure that provides data summarization and ad hoc
querying.
• Mahout™: A Scalable machine learning and data mining library.
• Pig™: A high-level data-flow language and execution framework for parallel
computation.
• Spark™: A fast and general compute engine for Hadoop data. Spark provides a simple
and expressive programming model that supports a wide range of applications, including
ETL, machine learning, stream processing, and graph computation.
Welcome to Apache™ Hadoop®!
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Copyright © 2014 The Apache Software Foundation. Apache Hadoop, Hadoop, Apache, the Apache
feather logo, and the Apache Hadoop project logo are either registered trademarks or trademarks of
the Apache Software Foundation in the United States and other countries.
• Tez™: A generalized data-flow programming framework, built on Hadoop YARN,
which provides a powerful and flexible engine to execute an arbitrary DAG of tasks to
process data for both batch and interactive use-cases. Tez is being adopted by Hive™,
Pig™ and other frameworks in the Hadoop ecosystem, and also by other commercial
software (e.g. ETL tools), to replace Hadoop™ MapReduce as the underlying execution
engine.
• ZooKeeper™: A high-performance coordination service for distributed applications.
2. Getting Started
To get started, begin here:
1. Learn about Hadoop by reading the documentation.
2. Download Hadoop from the release page.
3. Discuss Hadoop on the mailing list.
3. Download Hadoop
Please head to the releases page to download a release of Apache Hadoop.
4. Who Uses Hadoop?
A wide variety of companies and organizations use Hadoop for both research and production.
Users are encouraged to add themselves to the Hadoop PoweredBy wiki page.
5. News
5.1. 15 October, 2013: release 2.2.0 available
Apache Hadoop 2.x reaches GA milestone! Full information about this milestone release is
available at Hadoop Releases.
5.2. 25 August, 2013: release 2.1.0-beta available
Apache Hadoop 2.x reaches beta milestone! Full information about this milestone release is
available at Hadoop Releases.
5.3. 27 December, 2011: release 1.0.0 available
Hadoop reaches 1.0.0! Full information about this milestone release is available at Hadoop
Releases.
Welcome to Apache™ Hadoop®!
Page 3
Copyright © 2014 The Apache Software Foundation. Apache Hadoop, Hadoop, Apache, the Apache
feather logo, and the Apache Hadoop project logo are either registered trademarks or trademarks of
the Apache Software Foundation in the United States and other countries.
5.4. March 2011 - Apache Hadoop takes top prize at Media Guardian Innovation
Awards
Described by the judging panel as a "Swiss army knife of the 21st century", Apache Hadoop
picked up the innovator of the year award for having the potential to change the face of
media innovations.
See The Guardian web site
5.5. January 2011 - ZooKeeper Graduates
Hadoop's ZooKeeper subproject has graduated to become a top-level Apache project.
Apache ZooKeeper can now be found at http://zookeeper.apache.org/
5.6. September 2010 - Hive and Pig Graduate
Hadoop's Hive and Pig subprojects have graduated to become top-level Apache projects.
Apache Hive can now be found at http://hive.apache.org/
Pig can now be found at http://pig.apache.org/
5.7. May 2010 - Avro and HBase Graduate
Hadoop's Avro and HBase subprojects have graduated to become top-level Apache projects.
Apache Avro can now be found at http://avro.apache.org/
Apache HBase can now be found at http://hbase.apache.org/
5.8. July 2009 - New Hadoop Subprojects
Hadoop is getting bigger!
• Hadoop Core is renamed Hadoop Common.
• MapReduce and the Hadoop Distributed File System (HDFS) are now separate
subprojects.
• Avro and Chukwa are new Hadoop subprojects.
See the summary descriptions for all subprojects above. Visit the individual sites for more
detailed information.
Welcome to Apache™ Hadoop®!
Page 4
Copyright © 2014 The Apache Software Foundation. Apache Hadoop, Hadoop, Apache, the Apache
feather logo, and the Apache Hadoop project logo are either registered trademarks or trademarks of
the Apache Software Foundation in the United States and other countries.
5.9. March 2009 - ApacheCon EU
In case you missed it.... ApacheCon Europe 2009
5.10. November 2008 - ApacheCon US
In case you missed it.... ApacheCon US 2008
5.11. July 2008 - Hadoop Wins Terabyte Sort Benchmark
Hadoop Wins Terabyte Sort Benchmark: One of Yahoo's Hadoop clusters sorted 1 terabyte
of data in 209 seconds, which beat the previous record of 297 seconds in the annual general
purpose (Daytona) terabyte sort benchmark. This is the first time that either a Java or an open
source program has won.
Welcome to Apache™ Hadoop®!
Page 5
Copyright © 2014 The Apache Software Foundation. Apache Hadoop, Hadoop, Apache, the Apache
feather logo, and the Apache Hadoop project logo are either registered trademarks or trademarks of
the Apache Software Foundation in the United States and other countries.