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Developing spark applications using Scala language

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 ...

Spark: A framework for cluster computing on a workgroup

Translation: Esri Lucas The first paper on the Spark framework published by Matei, from the University of California, AMP Lab, is limited to my English proficiency, so there must be a lot of mistakes in translation, please find the wrong direct contact with me, thanks. (in parentheses, the italic part is my own interpretation) Summary: MapReduce and its various variants, conducted on a commercial cluster on a large scale ...

Spark: The Lightning flint of the big Data age

Spark is a cluster computing platform that originated at the University of California, Berkeley Amplab. It is based on memory calculation, from many iterations of batch processing, eclectic data warehouse, flow processing and graph calculation and other computational paradigm, is a rare all-round player. Spark has formally applied to join the Apache incubator, from the "Spark" of the laboratory "" EDM into a large data technology platform for the emergence of the new sharp. This article mainly narrates the design thought of Spark. Spark, as its name shows, is an uncommon "flash" of large data. The specific characteristics are summarized as "light, fast ...

Notes:hadoop based Open source projects

Hadoop Here's my notes about introduction and some hints for Hadoop based open source projects. Hopenhagen it ' s useful to you. Management Tool ambari:a web-based Tool for provisioning, managing, and Mon ...

Learn about Twitter storm architecture, and batch and streaming solutions

Hadoop (the undisputed king of the Big Data analysis field) concentrates on batch processing. This model is sufficient for many scenarios, such as indexing a Web page, but there are other usage models that require real-time information from highly dynamic sources. To solve this problem, we have to rely on the http://www.aliyun.com/zixun/aggregation/13431.html ">storm" that Nathan Marz launched (now called in Twitter.

Get rid of mapreduce and hug Spark!

The Apache Software Foundation has officially announced that Spark's first production release is ready, and this analytics software can greatly speed up operations on the Hadoop data-processing platform.   As a software project with the reputation of a "Hadoop Swiss Army Knife", Apache Spark can help users create performance-efficient data analysis operations that are faster than they would otherwise have been on standard Apache Hadoop mapreduce. Replace MapReduce ...

With Hadoop or Hadoop?

Hadoop is often identified as the only solution that can help you solve all problems. When people refer to "Big data" or "data analysis" and other related issues, they will hear an blurted answer: hadoop! Hadoop is actually designed and built to solve a range of specific problems. Hadoop is at best a bad choice for some problems. For other issues, choosing Hadoop could even be a mistake. For data conversion operations, or a broader sense of decimation-conversion-loading operations, E ...

Service rewrite - Significantly reduce the number of servers

Will it be taunting to rewrite a service in another language? But cloud service provider Iron.io does exactly that and has successfully reduced its server from 30 to two. Iron.io publishes the whole story on its official blog, here's a look: Iron.io and IronWorker Iron.io was originally a consulting firm that helped build applications for other companies and is now a cloud service provider. The Iron.io IronWorker development is equally old-fashioned: ...

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