Interactive Data Visualization With Processing

Referring to large data applications, the public is more familiar with the current consumer Internet-related areas, through access to consumer browsing, shopping and other relevant data, analysis of their consumption habits, lifestyles, and so on precision marketing. This is largely due to the strategic layout of bat in the consumer internet age. However, the large data application of consumer Internet has many limitations: one data is only held in the hands of a few merchants, and the legality of data application is not clear yet. And the enterprise's data is owned by the real Enterprise, and has the core economic value. Therefore, in the field of large data exploration and practice for several years, ...

1. Brazil's news website, Visualoop, a visualization site that brings together information graphs and data from the Internet, continues this year to identify the best large data visualization tool of the year. "We're struggling to pick out these 20 new platforms or tools-if you're a loyal reader of our weekly data coverage, you might remember a few of our lists." "In this list they ignore new versions and updates to existing tools, such as: Cartodb, Mapbox, Tableau, D3.js,...

Absrtact: In the current internet, a variety of data visualization charts emerge endlessly, this paper attempts to the data visualization methods to sum up into 6 steps. General data graphs can be divided into the most basic two kinds of elements: the description of the things and the value of this thing in the current Internet, a variety of data visualization charts endless, this article attempts to the data visualization method is summed up into 6 steps. General data graphs can be divided into the most basic two types of elements: the description of the things and the value of this thing, we will define it as indicators and indicators respectively ...

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall" Editor's note "This article source @ Baidu commercial ued in the current Internet, various data visualization charts emerge endlessly 　　, this paper attempts to generalize the method of data visualization, and organize it into 6 steps. General data graphs can be split into the most basic two types of elements: described ...

In recent years, with the emergence of new forms of information, represented by social networking sites, location-based services, and the rapid development of cloud computing, mobile and IoT technologies, ubiquitous mobile, wireless sensors and other devices are generating data at all times, Hundreds of millions of users of Internet services are always generating data interaction, the big Data era has come. In the present, large data is hot, whether it is business or individuals are talking about or engaged in large data-related topics and business, we create large data is also surrounded by the big data age. Although the market prospect of big data makes people ...

Oracle Global Congress, October 3, 2012-Oracle announces a new version of Oracle Business Intelligence (Oracle Business FDI), which enhances mobility and intuitive visualization. Enhanced mobility includes a new user experience that maximizes production interactivity, and Oracle Business Intelligence 11.1.1.6.2BP1 (Oracle Business FDI release 11.1.1.6.2BP1) can ...

This content contributor, Lee Feinberg, is the founder of the US Management consulting agency Decisionviz, a bachelor and Master's degree from Cornell University in the United States and a patent for the U.S. PC telephone interface, and is a member of the Cornell Entrepreneur Network and the Sandler Sales Institute. Decisionviz is a consulting firm that helps companies get rid of complex data-reporting problems through visualization technology. Lee is often invited to speak, and he is also the founder of the Tableau Software user group in the York. As early as ten years ...

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 ...

Open source Large data frame Apache Hadoop has become a fact standard for large data processing, but it is also almost synonymous with large numbers, although this is somewhat biased. 　　According to Gartner, the current market for Hadoop ecosystems is around $77 million trillion, which will grow rapidly to $813 million in 2016. But it's not easy to swim in the fast-growing blue sea of Hadoop, it's hard to develop large data infrastructure technology products, and it's hard to sell, specifically ...

With large data being adopted by more enterprises, the compilation and production language of data processing and analysis algorithms have been widely concerned. and unknowingly, open source statistics language R has become a basic technology for large data scientists and developers. 　　In all programming languages and techniques, popularity has soared. The following is the translation through the integration with the large data processing tools, R provides the depth statistical capability of large datasets, including statistical analysis and data-driven visualization. In industries such as finance, pharmaceuticals, media, and sales, which can directly take decisions from data, R has been applied in depth. ...