Open Source Data Analysis

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The new opportunity and challenge of open source in the era of large data

Open source Hotspot Inventory 1984, Richard Stallman launched GNU and Free Softwarefoundation, which has been open source for more than 28 years. From the bottom of the operating system to advanced desktop applications, there are open source footprint. Linux, which is especially open source operating system, is a controversial issue and is subject to many commercial attacks.   Many people like to put open source and business together, to accuse Open source is how "irregular", "energy consumption", "instability" and so on, especially Microsoft. Talk about ...

Virtualization, cloud computing, open source code, and more

A, virtualization virtualization refers to the ability to simulate multiple virtual machines on the same physical machine. Each virtual machine has a separate processor, memory, hard disk, and network interface logically. The use of virtualization technology can improve the utilization of hardware resources, so that multiple applications can run on the same physical machine with each other isolated operating environment. There are also different levels of virtualization, such as virtualization at the hardware level and virtualization at the software level. Hardware virtualization refers to the simulation of hardware to obtain a similar to the real computer environment, you can run a complete operating system. In the hardware virtual ...

Five aspects that open source should not be neglected

It is hard to imagine any company that has not used open source software in an environment where Linux is running on printers and Web servers, and business employees are running the Android operating system on a variety of mobile devices. According to Black Duck software, an open-source management tool provider, there are Ibedovan different open source projects in the industry, and the number of open source projects continues to grow, and black Duck software has the world's largest Ohloh open source software directory. At the same time, according to SAP ...

Open source tools to solve large data

Open source code platforms for large data are becoming popular.   In the past few months, almost everyone seems to have felt the impact. Low cost, flexibility and applicability to trained personnel are the main reasons for open source prosperity. Hadoop, R, and NoSQL are now the backbone of many of the enterprise's big data policies, whether they use it to manage unstructured data or perform complex statistical analyses. "It's almost impossible to keep up with it: SAP AG recently released a new product, SAP BusinessObjects Predictive analytics, software integration ...

Sweep 13 Open source Java Large data tools, from theory to practice analysis

Big data has almost become the latest trend in all business areas, but what is the big data? It's a gimmick, a bubble, or it's as important as rumors. In fact, large data is a very simple term--as it says, a very large dataset. So what are the most? The real answer is "as big as you think"! So why do you have such a large dataset? Because today's data is ubiquitous and has huge rewards: RFID sensors that collect communications data, sensors to collect weather information, and g ...

13 Open source tools based on large data analysis system Hadoop

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Dougcutting based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapreduc ...

Inventory Nine popular open source large data processing technology

As global corporate and personal data explode, data itself is replacing software and hardware as the next big "oil field" driving the information technology industry and the global economy. Compared with the fault-type information technology revolution such as PC and Web, the biggest difference of large data is that it is a revolution driven by "open source software". From giants such as IBM and Oracle to big data start-ups, the combination of open source software and big data has produced astonishing industrial subversion, and even VMware's past reliance on proprietary software has embraced big Open-source data ...

Twitter: A simple tweet behind the powerful open source power

Absrtact: 7 years ago, one of the ideas, the success of today's popular social network and microblogging service--twitter. Twitter now has more than 200 million monthly active subscribers, and about 500 million tweets are sent every day.   Behind all this is the support of a large number of open source projects. Twitter, known as the "Internet SMS Service", allows users to post no more than 140 tweets, the idea from Twitter's co-founder, Jack Dorsey, which was dubbed "the dumbest Ever" by analysts 7 years ago ...

Enumerate the top ten open source technology in the Big data field, ten companies

Top Ten Open Source technologies: Apache HBase: This large data management platform is built on Google's powerful bigtable management engine. As a database with open source, Java coding, and distributed multiple advantages, HBase was originally designed for the Hadoop platform, and this powerful data management tool is also used by Facebook to manage the vast data of the messaging platform. Apache Storm: A distributed real-time computing system for processing high-speed, large data streams. Storm for Apache Had ...

Open source is action, not heartbeat.

See Li Anshi wrote an article on the Internet, the name is "the great open source and China has nothing to do", in the article, Li Anshi analysis, in the current China in the manufacturing industry in pursuit of the pace of Europe and the United States, Tesla's patent open source is in fact just Tesla's propaganda means, Core technology is not going to make it easy for you to use. The backwardness of China in manufacturing is well known, but how can we change the status quo?   Only by strengthening their ability, open source will not become empty slogan! Here's what Li Anshi in the interview: the development of open source software ...

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