Documented Data

First, the initial understanding of large data seems to be overnight, big data becomes one of the most fashionable words in the IT industry. First of all, big data is not a completely new thing, Google's search service is a typical large data use, according to customer demand, Google real-time from the global mass of digital assets (or digital garbage) ...

The impact of big data on education is comprehensive. It can change the learning situation of individual learners, the depth of understanding of the laws of education, the way in which educational policies are formulated, and the structure of the entire education system.

Although the World Cup has been the curtain, but the big data in this World Cup's splendid performance is still the industry relish. Instead of octopus octopus, big Data has become a new generation of "Prophecy Emperors". Take a look at the power of big data in this World Cup: Google, using data from Opta QSL, a real-time sports data company, successfully predicted the winners of each of the World Cup 16 games with its cloud computing platform, while Baidu's big numbers succeeded in predicting Germany's title. While helping countless lottery buyers win money, the big numbers make it easier for operators to taste the flow in this World Cup. ...

Many years ago, the industry was discussing a topic: How to deal with massive data? In particular, some need to store a large number of user data industry, finance, telecommunications, insurance and other popular industries. Users are likely to generate large amounts of data almost every hour of the day, and storage devices in these industries have to be meticulously documented. 　　With the rapid increase of data volume, many industry users began to find ways to change the "number" for the treasure, from the massive data mining valuable information. If only a large number of structural data, then the solution to the comparison of the single, the user through the purchase ...

Securities Times reporter Yang Dong it is noteworthy that since the exposure of fraudulent incidents involving third-party data providers, a considerable number of sponsors have quoted data from Third-party data providers in the prospectus. If a company's prospectus quotes too many third party data from the same institution, the investigator has reason to suspect the fairness of the data, and will look for other statistical data to compare with it at the time of the audit.　　If the deviation is too large, the sponsor will be required to strictly check and comment. The issue of data authenticity in third party research institutions has recently aroused strong concern in the regulatory layer. One person ...

The issue of data authenticity in third party research institutions has recently aroused strong concern in the regulatory layer.　　One investment banker points out that the use of poorly documented third party data will risk being highly contested by regulators. Securities Times reporter learned that in the recent 6th session of the Insurance Generation Training conference, the first time, the supervision of the sponsor organizations to use Third-party data to request, "do not insist on third-party data, to truthfully disclose, do not mislead investors." Third-party data services are known to have two main sources of third-party data: One is data from industry associations and the other is the third party for profit.

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Message points: 1. Real-time operations information software supplier Splunk recently announced the launch of Hunk:splunk Analytics for Hadoop,hunk is a full-featured, Hadoop-oriented comprehensive analysis platform that enables everyone in the enterprise organization to explore interactively, 　　Analyze and visualize historical data in Hadoop. 2.Hunk is transforming the way business organizations analyze data in Hadoop. With the help of hunk, can use Splunk ten years with 6, more than 000 ...

While vendors are committed to supporting existing or developing industry standards, users want to deploy a single vendor's data center and their main provider's cloud-switching architecture. Standards such as Multilink transparent Interconnection (TRILL), Shortest Path Bridging protocol (SPB), and multiple chassis link aggregation (MLAG) are supported by many vendors trying to weaken Cisco's power in the data center Exchange arena. Standard support eases the concerns of customers who are trying to prevent "hold-up" by vendors, but it vendors may not necessarily mix and match multi-vendor switches between a data center and multiple data centers. Market research ...

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