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Analyzed 6 months ago. based on code collected 6 months ago.

Project Summary

Hive is a data warehouse infrastructure built on top of Hadoop that provides tools to enable easy data summarization, adhoc querying and analysis of large datasets data stored in Hadoop files. It provides a mechanism to put structure on this data and it also provides a simple query language called Hive QL which is based on SQL and which enables users familiar with SQL to query this data. At the same time, this language also allows traditional map/reduce programmers to be able to plug in their custom mappers and reducers to do more sophisticated analysis which may not be supported by the built-in capabilities of the language.

Tags

apache bigdata cluster clustercomputing distributed_computing hadoop hdfs java mapreduce orc spark sql sql-on-hadoop tez vectorization yarn

Apache License 2.0
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These details are provided for information only. No information here is legal advice and should not be used as such.

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Project Security

Vulnerabilities per Version ( last 10 releases )

Project Vulnerability Report

Security Confidence Index

Poor security track-record
Favorable security track-record

Vulnerability Exposure Index

Many reported vulnerabilities
Few reported vulnerabilities

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About Project Security

Languages

Languages?height=75&width=75
Java
80%
PHP
5%
Python
5%
13 Other
10%

30 Day Summary

Sep 14 2018 — Oct 14 2018

12 Month Summary

Oct 14 2017 — Oct 14 2018
  • 1888 Commits
    Up + 134 (7%) from previous 12 months
  • 114 Contributors
    Up + 12 (11%) from previous 12 months