【IT168 技术】对于业界的大数据存储及分布式处理系统来说，Hadoop 是耳熟能详的卓越开源分布式文件存储及处理框架，对于 Hadoop 框架的介绍在此不再累述，读者可参考 Hadoop 官方简介。使用和学习过老 Hadoop 框架(0.20.0 及之前版本)的同仁应该很熟悉如下的原 ...

Scientists and mathematicians have long loved Python as a vehicle for working with data and automation. Python has not lacked for libraries such as Hadoopy or Pydoop to work with Hadoop, but those ...

提升Hadoop集群MapReduce性能的数据布局优化方法，通过分析数据访问模式提取分组语义，结合节点异构性重新组织数据分布 ...

Hadoop has been known as MapReduce running on HDFS, but with YARN, Hadoop 2.0 broadens pool of potential applications Hadoop has always been a catch-all for disparate open source initiatives that ...

When the Big Data moniker is applied to a discussion, it’s often assumed that Hadoop is, or should be, involved. But perhaps that’s just doctrinaire. Hadoop, at its core, consists of HDFS (the Hadoop ...

还在纠结用哪个框架合适？一篇文章帮你快速分辨Hadoop、Spark、Storm、Samza和Flink这五种大数据框架的优势和局限 编者按：本文首发于InfoQ垂直号「大数据杂谈」，微信号：BigdataTina2016，转载已获授权。作者：Justin Ellingwood，英文原文：Hadoop, Storm, Samza, Spark, and Flink ...

‘Big data’ technologies Mapreduce and Hadoop are poised for rapid expansion over the next five years, according to research from IDC. MapReduce is a technique for splitting large analytical jobs into ...

What are some of the cool things in the 2.0 release of Hadoop? To start, how about a revamped MapReduce? And what would you think of a high availability (HA) implementation of the Hadoop Distributed ...

If 2014 was the year that Apache Hadoop sparked the big data revolution, 2015 may be the year that Apache Spark supplants Hadoop with its superior capabilities for richer and more timely analysis.