Google Open Data Sets

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Say the basic structure of Google cloud computing

The well-known Google, GFS is a google unique distributed file system designed by a large number of installed Linux operating system, through the PC form a cluster system. The entire cluster system consists of a Master (usually several backups) and several TrunkServer. The GFS files are backed up into fixed-size Trunks, which are stored on different Trunk Servers. Different Trunks have a lot of copy components and can also be stored on different Trunk Servers. Master ...

Millet on 22nd opened the second round of 100,000 sets of millet mobile phone 3 open to buy

October 22 Millet on 22nd opened the second round of 100,000 millet mobile phone 3 open purchase, attracted a large number of users to order. Sales reached 3.7 million people in the first minute.   Millet Company co-founder Li Vanchang said that at present millet is in the capacity of climbing stage, will continue to increase production capacity to meet user needs. The opening of the purchase began 12 o'clock, in addition to millet mobile phone 3, at the same time, sales of 2000 sets of millet TV, 100,000 red rice mobile phones, 20,000 millet boxes, 100,000 32G version of the Millet cell phone 2S. This is the first time the Millet mobile phone open sales ...

Facebook Data Center Practice analysis, OCP main work results

Editor's note: Data Center 2013: Hardware refactoring and Software definition report has a big impact. We have been paying close attention to the launch of the Data Center 2014 technical Report. In a communication with the author of the report, Zhang Guangbin, a senior expert in the data center, who is currently in business, he says it will take some time to launch. Fortunately, today's big number nets, Zhangguangbin just issued a good fifth chapter, mainly introduces Facebook's data center practice, the establishment of Open Computing Project (OCP) and its main work results. Special share. The following is the text: confidentiality is the data ...

Trends in large data-processing technology-introduction of five open source technologies

Large data areas of processing, my own contact time is not long, formal projects are still in development, by the large data processing attraction, so there is the idea of writing articles. Large data is presented in the form of database technologies such as Hadoop and "NO SQL", Mongo and Cassandra. Real-time analysis of data is now likely to be easier. Now the transformation of the cluster will be more and more reliable, can be completed within 20 minutes. Because we support it with a table? But these are just some of the newer, untapped advantages and ...

13 open source tools for big data analytics system Hadoop

This time, we share the 13 most commonly used open source tools in the Hadoop ecosystem, including resource scheduling, stream computing, and various business-oriented scenarios. First, we look at resource management.

How to choose an open source machine learning framework

Open source machine learning tools also allow you to migrate learning, which means you can solve machine learning problems by applying other aspects of knowledge.

Big data: More than 70 sites give you free access to large data repositories

Do you need a lot of data to test your app performance? The easiest way to do this is to download data samples from the free data repository on the web. But the biggest drawback of this approach is that the data rarely has unique content and does not necessarily achieve the desired results. Here are more than 70 sites with free large data repositories available. Wikipedia:database: Provide free copies of all available content to interested users. Data can be obtained in multiple languages. Content can be downloaded together with pictures. Common crawl to establish and maintain a human being ...

2013 Bossie Selection: Best Open source Large data tool

The appearance of MapReduce is to break through the limitations of the database. Tools such as Giraph, Hama and Impala are designed to break through the limits of MapReduce.   While the operation of the above scenarios is based on Hadoop, graphics, documents, columns, and other NoSQL databases are also an integral part of large data.   Which large data tool meets your needs? The problem is really not easy to answer in the context of the rapid growth in the number of solutions available today. Apache Hado ...

Big data: More than 70 sites give you free access to large data repositories

Do you need a lot of data to test your app performance? The easiest way to do this is to download data samples from the free data repository on the web. But the biggest drawback of this approach is that the data rarely has unique content and does not necessarily achieve the desired results. Here are more than 70 sites with free large data repositories available. Wikipedia:database: Provide free copies of all available content to interested users. Data can be obtained in multiple languages. Content can be downloaded together with pictures. Common crawl to establish and maintain a human being ...

"Book pick" large data development of the first knowledge of Hadoop

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

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