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HIVE-2598. Update README.txt file to use description from wiki

(Carl Steinbach via jvs)

git-svn-id: 13f79535-47bb-0310-9956-ffa450edef68
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commit 8a19652ef0d5573baf68fd2b680c68baadf6b08c 1 parent 4910f33
John Sichi authored
Showing with 24 additions and 11 deletions.
  1. +24 −11 README.txt
35 README.txt
@@ -1,14 +1,27 @@
-Apache Hive @VERSION@
-Apache Hive is a data warehouse system for Hadoop that facilitates
-easy data summarization, ad-hoc querying and analysis of large
-datasets stored in Hadoop compatible file systems. Hive provides a
-mechanism to put structure on this data and query the data using a
-SQL-like language called HiveQL. At the same time this language also
-allows traditional map/reduce programmers to plug in their custom
-mappers and reducers when it is inconvenient or inefficient to express
-this logic in HiveQL.
+Apache Hive (TM) @VERSION@
+The Apache Hive (TM) data warehouse software facilitates querying and
+managing large datasets residing in distributed storage. Built on top
+of Apache Hadoop (TM), it provides:
+* Tools to enable easy data extract/transform/load (ETL)
+* A mechanism to impose structure on a variety of data formats
+* Access to files stored either directly in Apache HDFS (TM) or in other
+ data storage systems such as Apache HBase (TM)
+* Query execution via MapReduce
+Hive defines a simple SQL-like query language, called QL, that enables
+users familiar with SQL to query the data. At the same time, this
+language also allows programmers who are familiar with the MapReduce
+framework to be able to plug in their custom mappers and reducers to
+perform more sophisticated analysis that may not be supported by the
+built-in capabilities of the language. QL can also be extended with
+custom scalar functions (UDF's), aggregations (UDAF's), and table
+functions (UDTF's).
Please note that Hadoop is a batch processing system and Hadoop jobs
tend to have high latency and incur substantial overheads in job
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