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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 ...

June 23 News, no longer questioned: Facebook has become the world's largest open source company. Previously, Facebook had led a trend through data centers, databases and various open-source designs. This week, the company launched two more Open-source projects: The Wedge network switch and the Fboss operating system it uses. 　　This puts Facebook on the top of the open source. But does this also ring the bell of the Open-source company? After all, companies like Facebook, Google (Weibo) and LinkedIn have launched a lot of ...

What is Sina app Engine Sina app Engine (SAE) is the first public cloud computing platform (http://), which was developed in-house in August 2009 and officially launched the initial alpha version on November 3, 2009. sae.sina.com.cn), SAE is the core component of Sina's cloud computing strategy. &nbs ...

This week's news of big data is rife with industry events, industry anecdotes and both. Today, small knitting here for everyone to tidy up this week with large data related to the news events can not be missed. 1. EMC releases the Hadoop release, named "Pivotal HD," on February 27, when EMC released its own Apache Hadoop release-pivotal HD, and also released a technology called HAWQ, Through HAWQ can be greenplum analysis of the database with ...

This week's news of big data is rife with industry events, industry anecdotes and both. Today, small knitting here for everyone to tidy up this week with large data related to the news events can not be missed. 1. EMC releases the Hadoop release, named "Pivotal HD," on February 27, when EMC released its own Apache Hadoop release-pivotal HD, and also released a technology called HAWQ, Through HAWQ can greenplum analytical data ...

Big data may be the most hot word in the tech world and VC circles. It seems that internet companies, even traditional industry companies, that don't have much of a big data connection have no future. is a hot word, there must be a bubble. Under the bubble, some companies that are really creating and digging into big data values, especially startups, are not known. There are companies that may still be in stealth mode, and they are now busy finishing the final finishing touches that will make it possible to change the rules of the game. Many of these big data startups ' teams come from Google ...

Big data may be the most hot word in the tech world and VC circles. It seems that internet companies, even traditional industry companies, that don't have much of a big data connection have no future. is a hot word, there must be a bubble. Under the bubble, some companies that are really creating and digging into big data values, especially startups, are not known. There are companies that may still be in stealth mode, and they are now busy finishing the final finishing touches that will make it possible to change the rules of the game. Many of these big data startups ' teams come from Google ...

In the 8 years of Hadoop development, we've seen a "wave of usage"-generations of users using Hadoop at the same time and in a similar environment. Every user who uses Hadoop in data processing faces a similar challenge, either forced to work together or simply isolated in order to get everything working. 　　Then we'll talk about these customers and see how different they are. No. 0 Generation-fire This is the beginning: On the basis of Google's 2000-year research paper, some believers have laid down the ability to store and compute cheaply ...

In the 8 years of Hadoop development, we've seen a "wave of usage"-generations of users using Hadoop at the same time and in a similar environment. Every user who uses Hadoop in data processing faces a similar challenge, either forced to work together or simply isolated in order to get everything working. Then we'll talk about these customers and see how different they are. No. 0 Generation-fire This is the beginning: On the basis of Google's 2000-year research paper, some believers have laid the commercialization of cheap storage and computing power ...

If you have a lot of data in your hands, then all you have to do is choose an ideal version of the Hadoop release. The old rarity, once a service for Internet empires such as Google and Yahoo, has built up a reputation for popularity and popularity and has begun to evolve into an ordinary corporate environment. There are two reasons for this: one, the larger the size of the data companies need to manage, and Hadoop is the perfect platform to accomplish this task-especially in the context of the mixed mix of traditional stale data and new unstructured data;