岁月: 数据被认为是,,en,当你没有有效的管理,,en,但实际上快速，高效地处理巨大的数据量的能力已经不能并行放大,,en,传统的工具不能够高效，准确地分析和存储数据,,en,这里的Apache Hadoop的进入画面处理大数据。它使得数据挖掘,,en,加工价格便宜,,en,快速，高效,,en,Hadoop的可采取大部分的大数据问题解决问题,,en,Apache的Hadoop是便宜和开放源码的Apache project.Anybody可以自由地使用它,,en,Hadoop的运行在商用硬件,,en,一般的日常电脑,,en,这样你就不用买百万美元专门的数据库机,,en 大数据 when you fail to manage it efficiently. 现在是一个天存储变得便宜，这将是在未来更便宜, 这意味着它已成为容易收集海量数据. But the ability to actually process the huge volume of data quickly and efficiently has not scaled up in parallel. Traditional tools are not capable to analyse and store data efficiently and accurately. Here Apache Hadoop comes into picture to handle BIG DATA .It makes data mining, analytics, and processing cheap,fast and efficient. Hadoop can take most of your big data problems solve the issues. Apache Hadoop is cheap and an open-source Apache project.Anybody is free to use it. Hadoop runs on commodity hardware (即. normal everyday computers), so you don’t have to buy million-dollar specialized database machines.
