Apache Speed

VMware today unveiled the latest open source project--serengeti, which enables companies to quickly deploy, manage, and extend Apache Hadoop in virtual and cloud environments. In addition, VMware works with the Apache Hadoop community to develop extension capabilities that allow major components to "perceive virtualization" to support flexible scaling and further improve the performance of Hadoop in virtualized environments. Chen Zhijian, vice president of cloud applications services at VMware, said: "Gain competitive advantage by supporting companies to take full advantage of oversized data ...

Cloudera recently released a news article on the Rhino project and data at-rest encryption in Apache Hadoop. The Rhino project is a project co-founded by Cloudera, Intel and Hadoop communities. This project aims to provide a comprehensive security framework for data protection. There are two aspects of data encryption in Hadoop: static data, persistent data on the hard disk, data transfer, transfer of data from one process or system to another process or system ...

ServerRoot "/ usr / local" ServerRoot is used to specify the directory where the daemon httpd is running. After the httpd starts, the current directory of the process is automatically changed to this directory. Therefore, if the file or directory specified in the settings file is a relative path, The path is under the path defined by this ServerRotot. ScoreBoardFile /var/run/httpd.scoreboard h ...

Tomcat is an application (Java) server that is just a servlet container and is an extension of the http://www.aliyun.com/zixun/aggregation/14417.html ">apache." Apache and Tomcat can be run as stand-alone Web servers, but Apache cannot interpret Java programs (Jsp,serverlet). Tomcat is an open source, running servlet ...

Http://www.aliyun.com/zixun/aggregation/13383.html ">spark is a cluster computing platform originating from the Amplab of the University of California, Berkeley, which is based on memory computing and has more performance than Hadoop , even with disk, the calculation of the iteration type will increase by 10 times times. Spark is a rare all-round player, starting from multiple iterations, eclectic data Warehouse, stream processing and graph calculation. Spar ...

"Csdn Live Report" December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology Conference (big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Symposium was opened at Crowne Plaza Hotel, New Yunnan, Beijing. Figuratively Architec ...

With the explosion of information, micro-blogging website Twitter was born. It is no exaggeration to describe Twitter's growth with the word "born". Twitter has grown from 0 to 66,000 since May 2006, when the number of Twitter users rose to 1.5 in December 2007. Another year, December 2008, Twitter's number of users reached 5 million. [1] The success of Twitter is a prerequisite for the ability to provide services to tens of millions of users at the same time and to deliver services faster. [2,3,4 ...

The Apache Spark is a memory data processing framework that has now been upgraded to a Apche top-level project, which helps to improve spark stability and replace mapreduce status in the next generation of large data applications. Spark has recently been very strong, replacing the mapreduce trend. 　　This Tuesday, the Apache Software Foundation announced Spark upgraded to a top-level project. Because of its performance and speed due to mapreduce and easier to use, spark currently has a large user and ...

Spark is a memory-based, open-source cluster computing system designed for faster data analysis. Spark was developed using Scala by Matei, AMP Labs, University of California, Berkeley. The core part of the code is only 63 Scala files, which is very lightweight. Spark provides an open source clustered computing environment similar to Hadoop, but Spark performs better on some workloads based on memory and iteratively optimized designs. & nbs ...

Guide: Yahoo CTO raymie Stata is a key figure in leading a massive data analysis engine. IBM and Hadoop are focusing more on massive amounts of data, and massive amounts of data are subtly altering businesses and IT departments. An increasing number of large enterprise datasets and all the technologies needed to create them, including storage, networking, analytics, archiving, and retrieval, are considered massive data. This vast amount of information directly drives the development of storage, servers, and security. It also brings a series of problems to the IT department that must be addressed. Information...