Enable javascript in your browser for better experience. Need to know to enable it? Go here.
本页面中的信息并不完全以您的首选语言展示,我们正在完善其他语言版本。想要以您的首选语言了解相关信息,可以点击这里下载PDF。
更新于 : Jul 08, 2014
不在本期内容中
这一条目不在当前版本的技术雷达中。如果它出现在最近几期中,那么它很有可能仍然具有相关参考价值。如果这一条目出现在更早的雷达中,那么它很有可能已经不再具有相关性,我们的评估将不再适用于当下。很遗憾我们没有足够的带宽来持续评估以往的雷达内容。 了解更多
Jul 2014
试验 ?
Hive is a data warehouse built on top of Hadoop which provides a SQL-like query and data definition language. Hive converts queries into MapReduce jobs that can be run across the entire Hadoop cluster. Like all useful abstractions, Hive does not try to deny the existence of the underlying mechanics of Hadoop and supports custom map-reduce operations as a powerful extension mechanism. Despite the superficial similarities to SQL, Hive does not try to be a replacement for low-latency, real-time query engines found on relational database systems. We strongly advise against using Hive for online ad-hoc querying purposes.
Jan 2014
试验 ?
发布于 : Jan 28, 2014

下载 PDF

 

English | Español | Português | 中文

订阅技术雷达简报

 

立即订阅

查看存档并阅读往期内容