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accumulo

CDH specific changes and backports on top of Apache Accumulo

accumulo-upgrade-test

Testing for Apache Accumulo upgrades

ades

An analysis of adverse drug event data using Hadoop, R, and Gephi

altus-azure-tools

Cloudera Altus Tools for Microsoft Azure

altus-sdk-java

Cloudera Altus SDK for Java

altus-sdk-java-samples

Samples for the Cloudera Altus SDK for Java

bigtop

Bigtop is a project for the development of packaging and tests of the Apache Hadoop ecosystem. The primary goal of Bigtop is to build a community around the packaging and interoperability testing of Hadoop-related projects. This includes testing at various levels (packaging, platform, runtime, upgrade, etc...) developed by a community with a focus on the system as a whole, rather than individual projects.

blog-eclipse

cdh-package

cdh-twitter-example

Example application for analyzing Twitter data using CDH - Flume, Oozie, Hive

cdsw-training

Example Python and R code for Cloudera Data Science Workbench training

cloudera-playbook

Cloudera deployment automation with Ansible

clusterdock

cm_api

Cloudera Manager API Client

cm_csds

A collection of Custom Service Descriptors

cm_ext

Cloudera Manager Extensibility Tools and Documentation.

crunch

Crunch is an Apache TLP now, and lives at http://crunch.apache.org/

datafu

director-aws-plugin

Cloudera Director - Amazon Web Services integration

director-azure-plugin

Cloudera Director - Microsoft Azure Integration

director-byon-plugin-example

BYON (Bring-Your-Own-Nodes) plugin for Cloudera Director

director-google-plugin

Cloudera Director - Google Cloud Platform integration

director-scripts

Cloudera Director sample code

director-sdk

Cloudera Director API clients

director-spi

Cloudera Director Service Provider Interface

director-spi-tck

Cloudera Director Service Provider Interface Technology Compatibility Kit

dist_test

earthquake

emailarchive

Hadoop for archiving email

flume

WE HAVE MOVED to Apache Incubator. https://cwiki.apache.org/FLUME/ . Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. The system is centrally managed and allows for intelligent dynamic management. It uses a simple extensible data model that allows for online analytic applications.