Big Data

The new Hadoop not only makes it possible to further stimulate the application of Hadoop, but it will also create a new method of data processing within Hadoop, which is impossible under previous architectural constraints. 　　In short, this is a good thing. 　　What has been limiting the development of Hadoop? More importantly, what is the future of Hadoop? Various criticisms of Hadoop revolve around its extended limitations, and the biggest problem here is its work. All the work in Hadoop is done by being called jobtr ...

Redhadoop is a continuous optimization of enterprise-class Hadoop Foundation software platform, so that http://www.aliyun.com/zixun/aggregation/14255.html ">hadoop large data Simpler!" Redhadoop Large Data Factory Enterprise Edition is Redhadoop Company's first product, referred to as BWE (Redhadoop bigdata works Enterprise), is an industry-oriented ...

VMware announces that it will allow vsphere to manage the Hadoop cluster. As a result, thousands of VMware Enterprise customers will be able to use the software they already know to control the Hadoop deployment. 　　Technically, this improves the company's level of running Hadoop nodes in virtualized infrastructures, while bringing the benefits of virtualization to large data platforms. VMware has recently launched the VMware vsphere Big Data Extensions, which will allow the company ...

The Apache Software Foundation has finally launched the latest Hadoop 2 data analysis platform.　　Hadoop 2 enhances its computing engine by supporting the yarn data processing and service engine while adding highly available features to the Hadoop File System (HDFS). Although HDFs has been upgraded in some Hadoop distributions, such as Cloudera, and some companies such as pivotal have been providing yarn support for half a year, Apache's public release of this version will be ...

Page 1th: The desire for large data 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 more broadly ...

2008, http://www.aliyun.com/zixun/aggregation/1560.html ">facebook gave a gift to large data users. Social giants open source Cassandra--nosql large data distributed databases. 　　Today, with the advent of Cassandra 2.0, this gift is becoming more precious. Since 2008, under the direction of the Apache Software Foundation (ASF), Cassandr ...

The era of large data is gradually coming, unfortunately many enterprises are not ready, many areas are still urgent to awaken. 　　"Data mass, lack of information" is a considerable number of enterprises in the data after a large concentration of embarrassing problems. In the electric power industry, with the development of intelligent power grid construction, the mass information generated by power grid operation is exponential growth. 　　Gathering point more and more, conventional dispatching automation system hundreds of thousands of points, and the distribution of electricity, data center will reach millions or even tens. Power large data analysis imminent current, power grid business data broadly divided into three categories: first, electric power enterprises ...

This year, big data has become a topic in many companies. While there is no standard definition to explain what "big Data" is, Hadoop has become the de facto standard for dealing with large data. Almost all large software providers, including IBM, Oracle, SAP, and even Microsoft, use Hadoop. However, when you have decided to use Hadoop to handle large data, the first problem is how to start and what product to choose. You have a variety of options to install a version of Hadoop and achieve large data processing ...

For large data, the serial processing method is difficult to meet people's requirements, and now mainly uses parallel computing. The existing parallel computing can be divided into two kinds: fine-grained parallel computation. Here the fine granularity is mainly the instruction or process level, because the GPU has more parallel processing power than the CPU, people put some tasks to the GPU parallel processing, some GPU manufacturers also introduced a user-friendly programming model, such as Nvidia launched the Cuda and so on. • Parallel computation of coarse granularity. Here the coarse granularity refers to the term ...

Hadoop originated in the 2002 Apache Nutch Project, one of the Apache Lucene subprojects. In 2004, Google published a paper on OSDI titled "Mapreduce:simplified Data 處理 on SCM clusters", inspired Doug Cutting and others began to implement MapReduce computing framework and NDFs (Nutch distribut ...

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 ...

When it comes to big data, it has to do with Alibaba. The world's leading E-commerce enterprise, the amount of data processed every day is unmatched by any other company, it is also transforming into a real data company--mysql is an important weapon in the transformation of Alibaba. 　　A database architect who interviewed Ali, who believes Ali has the best performance of open source MySQL, beyond any relational database and NoSQL. In the 2009, Oracle acquired the copyright of MySQL by acquiring Sun, and the industry began to question the use of Oracle ...

Http://www.aliyun.com/zixun/aggregation/14111.html, an enterprise-level data analyst company for Hadoop Production management and security software, says it plans to increase encryption at the end of 2013 >zettaset Eric Murray, the security architect who works at Zettaset, says the orchestrator suite of companies managing the Hadoop cluster is being enhanced, including the creation of symmetry based on Hadoop data partition encryption ...

November 2013 22-23rd, as the only large-scale industry event dedicated to the sharing of Hadoop technology and applications, the 2013 Hadoop China Technology Summit (Chinese Hadoop Summit 2013) will be held at four points by Sheraton Beijing Group Hotel. 　At that time, nearly thousands of CIOs, CTO, architects, IT managers, consultants, engineers, enthusiasts for Hadoop technology, and it vendors and technologists engaged in Hadoop research and promotion will join the industry. ...

TC Disrupt annual exhibition has been a consumer-level new company's show, but in this year's TC disrupt, there have been a lot of http://www.aliyun.com/zixun/aggregation/15530.html "> Large。 　　SAP has unveiled many updates to support the software giant's big data strategy, while also helping it make its debut in the 2013 TechCrunch Disrupt. Hadoop has no controversy ...

Microsoft has developed a large data framework called Reef (which will keep the evaluation execution framework short) http://www.aliyun.com/zixun/aggregation/14294.html ">, and intends to push it to open source within one months."　　Reef is designed to be based on the next generation of Hadoop resource Manager yarn, especially for machine learning tasks. Microsoft technical researcher and Information Service department CTO Raghu Ramakrish ...

HBase provides both scalability and the economics of sharing the same infrastructure as Hadoop, but does its flaws rip off its hind legs? 　　The NoSQL expert laid out the debate frame. HBase is part of the world's most popular large data-processing platform, Apache Hadoop, modeled after Google BigTable. 　　But can this lineage guarantee hbase a dominant role in the competitive and fast-growing NoSQL database market? Michael of the MAPR company.

In the internship, to deal with a table with 2.04 million records, because the records are taken from the Internet, so there are some less ideal words, such as some words mixed with special characters, punctuation, or some words are simply punctuation and so on. I write this program is to find out these unsatisfactory words, can be modified on the modified, no need to modify the direct deletion. [Java]&http://www.aliyun.com/zixun/aggregation/37954.html]

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; According to statistics, in the coming years, the data generated by smart cities, intelligent transportation, medical care and Internet of things will be overwhelming. So much of the data contains a lot of valuable information, but how do we extract that information? Now the usual approach is to use Hadoop, but Hadoop is not that safe. In yesterday's trend section ...

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 ...