Scala For Python Programmers

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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 ...

Recommended! The machine learning resources compiled by foreign programmers

C + + computer vision ccv-based on C language/provides cache/core machine Vision Library, novel Machine Vision Library opencv-It provides C + +, C, Python, Java and MATLAB interfaces, and supports Windows, Linux, Android and Mac OS operating system. General machine learning Mlpack dlib Ecogg Shark Closure Universal machine learning Closure Toolbox-cloj ...

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 ...

Unlock the code for large unstructured data processing and analysis

Ufida UAP Data platform has the ability of large data processing and analysis, it mainly relies on unstructured data processing platform Udh (UAP distribute for Hadoop) to complete.   UDH includes Distributed file system, storage database, distributed analysis and computing framework for Distributed batch processing, real-time analysis query, stream processing and distributed batch processing based on memory, and distributed data mining. In today's big data, companies can not blindly follow, but should understand why big data is so hot, why pay attention to it. Its ...

The present situation and future development of spark

The development of spark for a platform with considerable technical threshold and complexity, spark from the birth to the formal version of the maturity, the experience of such a short period of time, let people feel surprised. Spark was born in Amplab, Berkeley, in 2009, at the beginning of a research project at the University of Berkeley.   It was officially open source in 2010, and in 2013 became the Aparch Fund project, and in 2014 became the Aparch Fund's top project, the process less than five years time. Since spark from the University of Berkeley, make it ...

Four Java Cloud computing evaluation

There seems to be a plot in a thriller that says, "It's easy ... It's so easy. "And then all things began to fall apart. When I started testing the top-tier Java cloud Computing in the market, I found that the episode was repeating itself. Enterprise developers need to be more concerned about these possibilities than others. Ordinary computer users get excited when there are new scenarios in cloud computing that make life easier. They will use cloud-based emails and if the emails are lost they can only shrug their shoulders because the electrons ...

Help companies better understand data, big data startups adat

Absrtact: Large data start-up Adatao recently completed a 13 million dollar a round of financing by Andreessen Horowitz, Lightspeed Venture and Bloomberg, Andreessen Horowitz's Peter Levine will join the company's board of directors, while Marc Andreessen will serve as the company's consultant for big data start-ups Adatao recently completed by Andreessen ...

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