Apache Spark 2.0 Features

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An exclusive interview with Databricks Sing to discuss spark ranking competition and the hotspot of ecological circle

According to sort Benchmark's latest news, Databricks's spark tritonsort two systems at the University of California, San Diego, 2014 in the Daytona graysort tied sorting contest. Among them, Tritonsort is a multi-year academic project, using 186 EC2 i2.8xlarge nodes in 1378 seconds to complete the sorting of 100TB data, while Spark is a production environment general-purpose large-scale iterative computing tool, it uses 207 ...

Inventory the Hadoop Biosphere: 13 Open source tools for elephants to fly

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Doug cutting is based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapred ...

Hadoop China Technology summit triggers Hadoop 2.0 Storm

Hadoop has been 7 years since it was born in 2006.   Who is the global holder of Hadoop technology today? You must think of Hortonworks and Cloudera, or you'll be embarrassed to say you know Hadoop. As the largest Hadoop technology summit in the Greater China region this year, Chinese Hadoop summit will not be overlooked by these two vendors. Reporter has learned from the conference committee, Hortonworks Asia-Pacific technology director Jeff Markha ...

Can Hadoop 2.0:yarn change the rules of the game?

As the concept of large data has warmed up, Hadoop has been in the people's eye for some time as the most representative technology. The entire Hadoop ecosystem is developing at a rapid pace, with new features or new tools being generated almost every day. Although there are some minor changes, such as the more perfect support for scheduling in Oozie, or some still in development, such as support for NFS. There are also some very cool features, such as providing complete support for cpython in pig. But in my opinion, ...

Big Data 2.0 times feature-faster data processing

With the development of the industry, its business opportunities show a variety of trends.   "Big Data" was used in the 2014 vocabulary, but in fact, due to the lack of data, large data cleaning and analysis capacity, as well as data visualization bottlenecks, and other issues, "Big data" has been unable to delay landing. Recently, with the development of infrastructure, it means that the development of large data has come to a new critical point. System software supplier Software AG Gagan Mehra, on the VentureBeat website, elaborated his recognition of the next development of big data ...

A note on the six major technological changes in China's large data

Set "Hadoop China cloud Computing Conference" and "CSDN large data Technology conference" The essence of the great, successive Chinese large Data technology conference (BDTC) has developed into the domestic de facto industry's top technology event. From the 2008 60-man Hadoop salon to the present thousands of-person technical feast, as the industry has a very real value of the professional Exchange platform, each session of China's large data technology conference faithfully portrayed in the field of large data technology, sedimentation of the industry experience, witnessed the whole large data eco-circle technology development and evolution. December 2014 1 ...

A note on the six major technological changes in China's large data

Set "Hadoop China cloud Computing Conference" and "CSDN large data Technology conference" The essence of the great, successive Chinese large Data technology conference (BDTC) has developed into the domestic de facto industry's top technology event. From the 2008 60-man Hadoop salon to the present thousands of-person technical feast, as the industry has a very real value of the professional Exchange platform, each session of China's large data technology conference faithfully portrayed in the field of large data technology, sedimentation of the industry experience, witnessed the whole large data eco-circle technology development and evolution. December 2014 1 ...

"Cloud Pioneer" star Ring TDH: Performance significantly ahead of open source HADOOP2 technology Architecture Appreciation

Star Ring Technology's core development team participated in the deployment of the country's earliest Hadoop cluster, team leader Sun Yuanhao in the world's leading software development field has many years of experience, during Intel's work has been promoted to the Data Center Software Division Asia Pacific CTO. In recent years, the team has studied large data and Hadoop enterprise-class products, and in telecommunications, finance, transportation, government and other areas of the landing applications have extensive experience, is China's large data core technology enterprise application pioneers and practitioners. Transwarp Data Hub (referred to as TDH) is the most cases of domestic landing ...

2013 Hadoop Summit Large Data Product summary

Large data is one of the most active topics in the IT field today.   There is no better place to learn about the latest developments in big data than the Hadoop Summit 2013 held in San Jose recently. More than 60 big data companies are involved, including well-known vendors like Intel and Salesforce.com, and startups like SQRRL and Platfora. Here are 13 new or enhanced large data products presented at the summit. 1. Continuuity Development Public ...

Inventory 2014:10 coolest Big Data startups

In recent years, few it segments have been able to attract the attention of entrepreneurs like big data markets. Today, businesses and consumers are producing TB and even petabytes of data, and a large number of companies are also ramping up research and development to collect, store, manage, and analyze data. The following is the 2014 Big data field of the 10 emerging big data start-up companies 1. Aerospike founder and Cto:brian Bulkowski, including MongoDB, COUCHBD and Redis, are vying for the next generation ...

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