April 19, 2014 Spark Summit China 2014 will be held in Beijing. The Apache Spark community members and business users at home and abroad will be gathered in Beijing for the first time. Spark contributors and front-line developers from AMPLab, Databricks, Intel, Taobao, NetEase, and others will share their Spark project experience and best practices in production environments. The following is a reporter interviewed the original: - What are the reasons to attract you to study Spark ...
Developing spark applications with Scala language [goto: Dong's blog http://www.dongxicheng.org] Spark kernel is developed by Scala, so it is natural to develop spark applications using Scala. If you are unfamiliar with the Scala language, you can read Web tutorials a Scala Tutorial for Java programmers or related Scala books to learn. This article will introduce ...
Top 10 Reasons You Need Spark: 1. Spark is the only current replacement for revolutionary Hadoop that does everything Hadoop does and is more than 100 times faster than Hadoop: Logistic regression in Hadoop and Spark can be seen in areas where Spark is particularly good at 120 times faster than Hadoop! 2, the original support for Hadoop's four major business organizations have announced support for Spark, including the well-known Hadoop solutions ...
Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...
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 ...
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 ...
From 2008 only 60 people attended the technical salon to the present thousands of people technical feast, as the industry has a very practical value of the professional Exchange platform, has successfully held the seven China large Data technology conference faithfully portrayed a large data field in the technical hot spot, precipitated the industry's actual combat experience, witnessed the development and evolution of the whole large data ecological circle technology. December 12-14th, hosted by the China Computer Society (CCF), CCF large data expert committee, the Institute of Computing Technology of the Chinese Academy of Sciences and CSDN co-organized the 2014 China Large Data Technology conference (Big&n ...
Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...
Top Ten Open Source technologies: Apache HBase: This large data management platform is built on Google's powerful bigtable management engine. As a database with open source, Java coding, and distributed multiple advantages, HBase was originally designed for the Hadoop platform, and this powerful data management tool is also used by Facebook to manage the vast data of the messaging platform. Apache Storm: A distributed real-time computing system for processing high-speed, large data streams. Storm for Apache Had ...
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