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.
In a Nutshell, Apache Hive...
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took an estimated 514 years of effort (COCOMO model)
starting with its first commit in September, 2008
ending with its most recent commit about 4 years ago
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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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30 Day SummaryAug 21 2019 — Sep 20 2019
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12 Month SummarySep 20 2018 — Sep 20 2019
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