Most Popular Data Analysis Software

Has the "Big data" era come? The trend is a ridiculous and respectable force: today, if you open any media, if not mention "big data", I am afraid to be embarrassed to publish. This trend is so overwhelming that even state leaders are no exception. 　　The question is: Why does everybody say Pro data? The value of data, with the exponential growth of data volume, has no longer been able to show through the traditional charts, which is why business intelligence has not yet become popular, has been "data analysis" to squeeze the stage. Because, the value hides in the data, needs the data analysis to be able to release these ...

In the Internet industry, 2013 can be said to be recognized as a trans-era significance of the "big data year." In this year, the data is more precious than ever, and even become a new energy source comparable to the oil resources, the big data is considered as the information and the Internet after the whole revolution of the message again peak. 　　However, large data is not a slogan, and more enterprises need to be put into practice to dig out the potential value from the monotonous data. A survey earlier this year pointed out that 28% of global companies and 25% of Chinese companies are already starting to practice big data. To learn more about China ...

The world's leading http://www.aliyun.com/zixun/aggregation/14294.html "> Large data analysis and data warehousing solutions manufacturer Teradata Company announces that Teradata 　Aster large data Discovery platform won two categories of the "Stilwell Awards Volkswagen Selection Award": "Most popular business intelligence software category 2013 years of the most popular new product Award" and "Software/business intelligence/Competitive intelligence solutions for the best product/Service Award." ...

In 2017, the double eleven refreshed the record again. The transaction created a peak of 325,000 pens/second and a peak payment of 256,000 pens/second. Such transactions and payment records will form a real-time order feed data stream, which will be imported into the active service system of the data operation platform.

In the interview of Simin data Liu Chengzhong, he said that the current large data domain enterprise-level market rely on technology monopoly to obtain high profits of the game is outdated, the cost of technology will continue to decline, this is the general trend, the market giant will appear in the technology is very good, but better service companies. From the user's point of view, the user's first concern is how to make the data value, then the solution depends on what kind of technology, whether it can quickly apply, whether it can adapt to the next possible expansion, relative technology, 1th is more difficult. In fact, today's corporate customers, particularly in the field of large data technology, ...

The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.

As other manufacturers have focused more on "How to use big data for industrial transformation and corporate Innovation", Microsoft has begun to show how to use the right technology and tools so that everyone in the general public can intuitively gain insights from big data. October 18, Microsoft Global Senior Vice President, He Lebin, chairman and chief executive of Greater China, told reporters on "Big data media day" that "unlike the way other companies handle big data, Microsoft advocates thinking about the use of large data in three ways, from discovering data, analyzing data, and visualizing data." Microsoft Big Data Vision ...

As the core of cloud computing development, the construction of data center is very important, recently media reported that the Division of Communications Development is currently drafting the draft "Guidance on the construction of data Center", the layout of the cloud Computing Data Center, and guide the green development of the industry. According to people familiar with the matter, the Ministry of Industry in the development of cloud computing "Twelve-Five" planning, but also the data center of the construction planning as the focus, to encourage the data center built in the energy, land resources relatively rich areas. Due to rapid data growth and policy support, there are more than 400,000 data centers across the country, according to domestic professional institutions ...

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

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 ...