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Mirror of Apache HCatalog

Octocat-spinner-32 bin HCATALOG-78: Update notice.txt and headers and add Disclaimer.txt
Octocat-spinner-32 conf HCAT-40 Remove dependencies from the HCatalog client jar (macyang)
Octocat-spinner-32 hive HCATALOG-4 Get the build file up and running.
Octocat-spinner-32 ivy HCATALOG Add a releaseaudit target to build.xml
Octocat-spinner-32 lib HCATALOG-4 Get the build file up and running.
Octocat-spinner-32 license HCATALOG-20: Create a package target. On branch 0.1
Octocat-spinner-32 scripts Lowered HADOOP_HEAPSIZE to 2048
Octocat-spinner-32 src HCATALOG-54 Javadoc is not being built as part of HCatalog docs
Octocat-spinner-32 CHANGES.txt HCATALOG-78: Update notice.txt and headers and add Disclaimer.txt
Octocat-spinner-32 DISCLAIMER.txt HCATALOG-78: Update notice.txt and headers and add Disclaimer.txt
Octocat-spinner-32 KEYS Added my public key in KEYS
Octocat-spinner-32 LICENSE.txt HCATALOG-20: Create a package target. On branch 0.1
Octocat-spinner-32 NOTICE.txt HCATALOG-78: Update notice.txt and headers and add Disclaimer.txt
Octocat-spinner-32 README.txt HCATALOG-20: Create a package target. On branch 0.1
Octocat-spinner-32 RELEASE_NOTES.txt Preparing for release 0.1.0
Octocat-spinner-32 build.xml HCATALOG-54 Javadoc is not being built as part of HCatalog docs
Octocat-spinner-32 ivy.xml HCATALOG Add a releaseaudit target to build.xml
README.txt
Apache HCatalog
===============
HCatalog is a table and storage management service for data created using Apache 
Hadoop.

The vision of HCatalog is to provide table management and storage management layers
for Apache Hadoop. This includes:

 * Providing a shared schema and data type mechanism.
 * Providing a table abstraction so that users need not be concerned with where
   or how their data is stored.
 * Providing interoperability across data processing tools such as Pig, Map
   Reduce, Streaming, and Hive. 

Data processors using Apache Hadoop have a common need for table management
services. The goal of this table management service is to track data that exists in
a Hadoop grid and present that data to users in a tabular format. HCatalog
provides a single input and output format to users so that individual users need
not be concerned with the storage formats that are chosen for particular data
sets. Data is described by a schema and shares a datatype system.

Users are free to choose the best tools for their use cases. The Hadoop project
includes Map Reduce, Streaming, Pig, and Hive, and additional tools exist such
as Cascading. Each of these tools has users who prefer it, and there are use
cases best addressed by each of these tools. Two users on the same grid who
share data are not constrained to use the same tool but with HCatalog are free
to choose the best tool for their use case.  HCatalog presents data in the same
way to all of the tools, providing interfaces to each of them.

For the latest information about HCatalog, please visit our website at:

   http://incubator.apache.org/hcatalog

and our wiki, at:

   https://cwiki.apache.org/confluence/display/HCATALOG
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