This article is for reading book next Generation Databases:nosql, Newsql, and Big Data Chapter 7th: The End of Disk? SSD and In-memory databases notes.The disk is dead?Bill Gates said in 1981:
640K of memory should is enough for anybody.
This article is for reading book next Generation Databases:nosql, Newsql, and Big Data Chapter 7th: The End of Disk? SSD and In-memory databases notes.The disk is dead?Bill Gates said in 1981:
640K of memory should is enough for anybody.
HDFs Enable SSD storage 1. Configure the data node for HDFS[DISK]/HADOOP/HDFS/DATA,[SSD]/HADOOP/HDFS/SSDMount SSD disk to path/HADOOP/HDFS/SSD on all data nodesand ensure that the owner of the/HADOOP/HDFS/SSD path is Hdfs:hadoopdrwxr-x--- 3 hdfs
Publish Apache Hadoop 2.6.0--heterogeneous storage, long-running service and rolling upgrade supportI am pleased to announce that the Apache Hadoop community has released the Apache 2.6.0:http://markmail.org/message/gv75qf3orlimn6kt!In particular,
Today, with cloud computing and big data, Hadoop and its related technologies play a very important role and are a technology platform that cannot be neglected in this era. In fact, Hadoop is becoming a new generation of data-processing platforms
Original: http://zhuanlan.zhihu.com/donglaoshi/19962491 Fei
referring to the Big data analytics platform, we have to say that Hadoop systems, Hadoop is now more than 10 years old, many things have changed,
Hadoop 2.3.0 was released in February 20, 2014. This was the first hadoop version released by Apache in 2014. It kicked off the development of hadoop 2014.
This version introduces many long-awaited features, including HDFS's heterogeneous
First of all, to ask, what is CDH?To install a Hadoop cluster that deploys 100 or even 1000 servers, package I including hive,hbase,flume ... Components, a day to build the complete, there is to consider the system after the update asked questions,
absrtact: This article mainly introduces TalkingData in the process of building big data platform, introducing spark gradually, and build mobile big data platform based on Hadoop yarn and spark.Now, Spark has been widely recognized and supported at
Reprinted from http://www.csdn.net/article/2015-06-08/2824889http://www.zhihu.com/question/26568496Now, Spark has been widely recognized and supported at home: In 2014, spark Summit China in Beijing, the scene is hot, the same year, Spark Meetup in
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