71b8db631c
Updates the required properties to enable Cassandra as deep storage. Also adds more information about how to create the required keystore, and which properties files need to be modified to support Cassandra. Also adds syntax highlighting to the provided example code. Additionally, moves Cassandra Deep Storage documentation out into the actual documentation hierarchy with appropriate linkage. A stub README.md is left in the example directory to provide a useful landing page for existing weblinks to the original documentation. |
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cassandra-storage | ||
common | ||
docs | ||
examples | ||
hdfs-storage | ||
histogram | ||
indexing-hadoop | ||
indexing-service | ||
install | ||
kafka-eight | ||
kafka-seven | ||
processing | ||
publications | ||
rabbitmq | ||
s3-extensions | ||
server | ||
services | ||
.gitignore | ||
CodeStyle.jar | ||
DruidCorporateCLA.pdf | ||
DruidIndividualCLA.pdf | ||
LICENSE | ||
README.md | ||
build.sh | ||
eclipse_formatting.xml | ||
pom.xml | ||
upload.sh |
README.md
Druid
Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations Druid can load both streaming and batch data and integrates with Storm and Hadoop.
More Information
Much more information about Druid can be found on our website.
Documentation
We host documentation on our website. If you want to contribute documentation changes, please submit a pull request to this repository.
Tutorials
We have a series of tutorials to get started with Druid, starting with this one.
Support
Report any bugs using GitHub issues.
Contact us through our forum or on IRC in #druid-dev
on irc.freenode.net
.