The primary goal of Bigtop is to build a community around the packaging and interoperability testing of Hadoop-related projects.

Apache Mesos is a cluster manager that provides efficient resource isolation and sharing across distributed applications, or frameworks.

Spark is an open source cluster computing system that aims to make data analytics fast — both fast to run and fast to write.

A comprehensive run-down of Hadoop, and it's ecosystem.

Azkaban is simple batch scheduler for constructing and running Hadoop jobs or other offline processes.

Cascalog is a Clojure-based query language for Hadoop inspired by Datalog.

OpenTSDB is a distributed, scalable Time Series Database (TSDB) written on top of HBase. OpenTSDB was written to address a common need: store, index and serve metrics collected from computer systems (network gear, operating systems, applications) at a large scale, and make this data easily accessible and graphable.

This is a group dedicated to the advancement and education of people interested in working in the Hadoop (HBase,Hive, Pig) cloud environment.

Hive is a data warehouse infrastructure built on top of Hadoop. It provides tools to enable easy data ETL, a mechanism to put structures on the data, and the capability to querying and analysis of large data sets stored in Hadoop files. Hive defines a simple SQL-like query language, called QL, that enables users familiar with SQL to query the data.

Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data.

Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs.