This is the second stable release of Apache Hadoop 2.10 line. It contains 218 bug fixes, improvements and enhancements since 2.10.0.
Users are encouraged to read the overview of major changes since 2.10.0.For details of 218 bug fixes, improvements, and other enhancements since the previous 2.10.0 release,please check release notes and changelogdetail the changes since 2.10.0.
First general available(GA) release of Apache Hadoop Ozone with OM HA, OFS, Security phase II, Ozone Filesystem performance improvement, security enabled Hadoop 2.x support, bucket link, Recon / Recon UI improvment, etc.
For more information check the ozone site.
This is the second stable release of Apache Hadoop 3.1 line. It contains 308 bug fixes, improvements and enhancements since 3.1.3.
Wget is a handy tool to download files using http, https or ftp protocols from internet. We will need this utility to download Hadoop binaries from Internet later in this post to install apache Hadoop on Mac or Linux machine. To install it using homebrew, type following on terminal $ brew install wget.
- Installing Apache Hadoop on Mac OSX and Running the Map Reduce Hello World Soby Chacko Big Data, Hadoop October 2, 2013 May 3, 2017 4 Minutes Here are the step by step instructions to install the plain vanilla Apache Hadoop and run a rudimentary map reduce job on the mac osx operating system.
- Download Oracle VM Virtual Box. For windows user: VirtualBox-5.1.2-108956-Windows.exe. For MAC users: VirtualBox-5.1.2-108956-MAC OSX.dmg. And Great Online Training Hadoop appliance from the buttons above.
Users are encouraged to read the overview of major changes since 3.1.3.For details of 308 bug fixes, improvements, and other enhancements since the previous 3.1.3 release,please check release notes and changelog.
This is the first release of Apache Hadoop 3.3 line. It contains 2148 bug fixes, improvements and enhancements since 3.2.
Users are encouraged to read the overview of major changes.For details of please check release notes and changelog.
First beta release of Apache Hadoop Ozone with GDPR Right to Erasure, Network Topology Awareness, O3FS, and improved scalability/stability.
For more information check the ozone site.
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Apache Hadoop is a framework for running applications on large cluster built of commodity hardware. The Hadoop framework transparently provides applications both reliability and data motion. Hadoop implements a computational paradigm named Map/Reduce, where the application is divided into many small fragments of work, each of which may be executed or re-executed on any node in the cluster. In addition, it provides a distributed file system (HDFS) that stores data on the compute nodes, providing very high aggregate bandwidth across the cluster. Both MapReduce and the Hadoop Distributed File System are designed so that node failures are automatically handled by the framework.
General Information
- Official Apache Hadoop Website: download, bug-tracking, mailing-lists, etc.
- Overview of Apache Hadoop
- FAQ Frequently Asked Questions.
- Distributions and Commercial Support for Hadoop (RPMs, Debs, AMIs, etc)
- Presentations, books, articles and papers about Hadoop
- PoweredBy, a growing list of sites and applications powered by Apache Hadoop
- Support
- Getting help from the hadoop community.
- People and companies for hire.
- HadoopUserGroups (HUGs)
Related-Projects
Apache Hadoop Download For Windows
- HBase, a Bigtable-like structured storage system for Hadoop HDFS
- Apache Pig is a high-levels MPP Data Warehouse.
- Hadoop on ARM cluster A study that compares Hadoop MapReduce applications' energy consumption and performance between ARM cluster and general X86_64 cluster
- HDFS Architecture Documentation An overview of the HDFS architecture, intended for contributors.