External Data Access

Global access to the Big Data era Oracle predicts that the next 10 global data volume will increase by more than 40%, 2020 global data volume will be close to 45ZB (45,000,000PB), 2009 Years 44 times times. There is a huge gap between the fast-growing volume of data and the existing analytical capabilities, and the development of large data-processing technologies can effectively bridge the gap and enable data value to be better mined and exploited. According to the 2013 Gartner Emerging technology hyper curve, large data technology to achieve rapid growth, is still rising ...

Page 1th: Why use the IAM in the traditional sense, organizations invest in IAM practices to improve operational efficiency and meet requirements for regulatory, privacy, and data protection: improved operational efficiency The architecture of good IAM technologies and processes automates repetitive work such as user entry, 　　Thus improving efficiency (for example, self-service reset user request password without system administrator using Help desk dispatch system intervention). Compliance Management to protect systems, applications, and information from internal and external threats such as ...

"Editor's note" This article is reproduced in the public number "Fu Zhihua", the author has been Tencent social networking business Group data center director and Tencent Data Association president.     Before Tencent, he worked in the market consulting, Analysys International, China Internet Association, and served as vice president of Dcci Internet Data Center. The internet industry in the accumulation of large data and applications to Baidu, Tencent and Alibaba is the most noteworthy. Baidu, Tencent and Alibaba in the application of large data although there is a common place, but due to their respective data sources and ...

Using Hadoop to drive large-scale data analysis does not necessarily mean that building a good, old array of distributed storage can be a better choice. Hadoop's original architecture was designed to use a relatively inexpensive commodity server and its local storage in a scale-out manner. Hadoop's original goal was to cost-effectively develop and utilize data, which in the past did not work. We've all heard of words like large-scale data, large-scale data types, large-scale data speeds, etc. that describe these previously unmanageable data sets. Given the definition so ...

1. The introduction of large data production makes data analysis and application more complex, difficult to manage. According to statistics, the amount of data produced in the world over the past 3 years is more than the previous 400 years, including documents, pictures, videos, web pages, e-mail, microblogging and other types, of which only 20% are structured data, 80% is unstructured data. The increase of data makes the data security and privacy protection problem become more and more prominent, all kinds of security incidents to the enterprise and user wake-up alarm. Throughout the data lifecycle, businesses need to comply with stricter security standards and confidentiality rules ...

Singapore "Lianhe Zaobao" 23rd published "large data age of public opinion and politics," the article pointed out that the network era, on the one hand, the rapid flow of information, on the one hand, also constantly create information fragmentation, ambiguity. A people's livelihood issues under the steam of the public opinion, it is very possible to cause public crisis, even affect government decision-making. But this is the reality that politicians must accept and adapt themselves to the demands of the big data age, rather than the singleness and smoothness of past times. The article excerpts as follows: With the rapid progress of network technology, E-commerce, various types of applications 、...

With the development of science and technology, from the previous power grid development caught in the electrification of the times, power supply facilities also allow large enterprises of important commodities gradually spread to the various production environment, but also with the constant warming of cloud computing, now some people have begun to compare it with the electricity revolution in early 20th century. But if this is the equivalent of cloud computing and power, and even the idea that data is tied to power, and that people are still weak in the sense of the outside cloud, it is too absolute to let them know that data is not electricity. There are many differences between them, the fundamental difference is: for electricity ...

With the country's strategic thinking of promoting big data to promote economic and social transformation and development, the construction of big data platform is now the focus of government informationization construction, and provincial governments rely on a strong information system to take the lead.

Singapore "Lianhe Zaobao" 23rd published "large data age of public opinion and politics," the article pointed out that the network era, on the one hand, the rapid flow of information, on the one hand, also constantly create information fragmentation, ambiguity. A people's livelihood subject in the public opinion http://www.aliyun.com/zixun/aggregation/35883.html "> Steam of the fermentation effect, it is very likely to lead to crisis, even affect government decision-making." But this is the reality, politicians must accept, let themselves fit ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...