Net Dataset

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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 ...

Distributed parallel programming with Hadoop, part 1th

Hadoop is an open source distributed parallel programming framework that realizes the MapReduce computing model, with the help of Hadoop, programmers can easily write distributed parallel program, run it on computer cluster, and complete the computation of massive data. This paper will introduce the basic concepts of MapReduce computing model, distributed parallel computing, and the installation and deployment of Hadoop and its basic operation methods. Introduction to Hadoop Hadoop is an open-source, distributed, parallel programming framework that can be run on a large scale cluster by ...

"Graphics" distributed parallel programming with Hadoop (i)

Hadoop is an open source distributed parallel programming framework that realizes the MapReduce computing model, with the help of Hadoop, programmers can easily write distributed parallel program, run it on computer cluster, and complete the computation of massive data. This paper will introduce the basic concepts of MapReduce computing model, distributed parallel computing, and the installation and deployment of Hadoop and its basic operation methods. Introduction to Hadoop Hadoop is an open-source, distributed, parallel programming framework that can run on large clusters.

Show how to build a database-supported Windows Azure Service

The cloud service Base application is also known as the "csfundahttp://www.aliyun.com/zixun/aggregation/29845.html" >mentals, which shows how to build Azure services supported by the database. In the Dal–rdbms section of the previous blog post, we discussed a technique for implementing lateral scalability in the database layer, i.e. partitioning. In this article, we'll discuss the importance of caching, the factors to consider, and how to ...

About System Availability Scale

System Usability Scale,sus is used to measure the ease of use of software, hardware, phones, and Web sites, consisting of 10 projects. When using SUS, there are 10 things you should know: 1. The average of SUS is 68 points: we collected 500 products on SUS, and found that the average score was 68 points. Remember: The SUS score is not a percentage. 68 cents is the highest score of 68%, but it is on the 50% percentile. It is best to consider the original score of SUS as a score;

Why business Hadoop implementations are best suited for enterprise deployments

Analysis is the core of all enterprise data deployments. Relational databases are still the best technology for running transactional applications (which is certainly critical for most businesses), but when it comes to data analysis, relational databases can be stressful. The adoption of an enterprise's Apache Hadoop (or a large data system like Hadoop) reflects their focus on performing analysis, rather than simply focusing on storage transactions. To successfully implement a Hadoop or class Hadoop system with analysis capabilities, the enterprise must address some of the following 4 categories to ask ...

Netflix betting Big data: dream of becoming a streaming home theater

Beijing time, November 30, Wired Magazine Network edition recently published article said, streaming video service provider Netflix is betting on big data, dream of becoming the next generation of HBO television network, without having their subscribers subscribe to cable TV services. The article points out that Netflix is using data mining and algorithms to provide an advantage because it has a huge dataset of 29 million subscribers ' viewing habits and preferences. The following is the full text of this article: Ride Hastings (Reed hasti ...)

Science: Cloud computing and big data in biology

In February 1977, Fredrick Sanger and his colleagues published the complete genome sequence of the first organism, the 5,375 nucleotides of the phage phiX174. Since then, it has become clear that genome-wide research will be tedious as scientists detect more complex species. Fortunately, the development of genomics soon has a solution. Just 4 months later, a new small company in Cupertino, Calif., began selling Apple II to electronics enthusiasts. Scientists also quickly discovered that ...

Reprint: Cloud computing and large data in biology

In February 1977, Fredricksanger and his colleagues published the complete genome sequence of the first organism, the 5,375 nucleotides of the phage phiX174. Since then, it has become clear that genome-wide research will be tedious as scientists detect more complex species. Fortunately, the development of genomics soon has a solution. Just 4 months later, a new small company in Cupertino, Calif., began selling Apple to electronic enthusiasts. Scientists also quickly discovered that this relatively cost-effective new computing system ...

Analysis of the cloud-based railway data center

Under the background of the information age, after years of development, railway informatization has become an important support for railway daily work. In the transportation organization, the passenger and freight marketing, the management and the safety monitoring and so on work, each kind of information system plays the important role to become more and more manifest. Therefore, to meet business needs, in the Transport Depot section, the Railway Bureau, the Ministry of Railways has established a variety of levels of information systems room, and according to the business maximum data and calculation requirements of the acquisition of host, storage equipment and the corresponding platform software, in order to ensure the safe and reliable operation of information systems, most of the main system using the main Single (or multiple) storage array ...

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