Mine That Data

The author is the broad application prospect of Soath, vice president of Oracle Company and technical general manager of Greater China. Corporate CEOs and CIOs talk about big data when they talk about business strategy and it model innovation. Gartner releases "Big Data drives Rapid Changes in infrastructure and $232 billion in IT spending 2016" ("rapid change in the large database-driven infrastructure ...").

This era has not been a simple digital media era, some business giants have quietly used "big data" technology for many years, with large data-driven marketing, drive cost control, drive product and service innovation, drive management and decision-making innovation for many years. Large data contains a variety of information on the operation of the enterprise, if they can be timely and effective collation and analysis, it can be a good effective way to help enterprises to carry out business decision-making, to bring the enterprise to obtain huge value-added value benefits. This issue with large data on the most closely related to the retail industry, and small partners to share big ...

Victor Maire Schoenberg and Kenneth Couqueil in the big Data age tell us the 4V features of large data, namely volume (mass), velocity (high Speed), produced (variety), veracity (real). Large data must be complex compared to small data. However, complexity is definitely an opportunity, not a problem, for us. 　　In the face of the big data age, how to embrace the big data, from the change of thinking way to begin. From "structured database based on presets" to "without presets ...

This era has not been a simple digital media era, some business giants have quietly used "big data" technology for many years, with large data-driven marketing, drive cost control, drive product and service innovation, drive management and decision-making innovation for many years. Large data contains a variety of information on the operation of the enterprise, if they can be timely and effective collation and analysis, it can be a good effective way to help enterprises to carry out business decision-making, to bring the enterprise to obtain huge value-added value benefits. This issue with large data on the most closely related to the retail industry, and small partners to share big ...

Summary: Data analysis Framework (traditional data analysis framework, large data analysis framework) medical large data has all the features mentioned in the first section. At the same time that large data brings with it a variety of advantages, the wide variety of features that result from the traditional data processing data analysis Framework (traditional data analysis framework, large data analysis framework) medical large data have all the features mentioned in the first section. While the medical data brings various advantages, large data brings with it various characteristics, which make the traditional data processing and analysis methods and software stretched ...

"Smart data" can produce synergy with projects such as Industry 4.0 Germany's "Smart data" technology project is tightly focused on the goals set by its ICT strategy, "digital Germany 2015", at the same time, "High-tech Strategy 2020" in the "Internet services to promote economic development" as the basis, in the federal context of high attention. The project, which encompasses and concatenates important basic technologies and standards, lays a solid foundation for large data development, such as "THESEUS", "Trusted Cloud", Industrial 4.0, electric cars, e-e ...

"Background" large data for the first time into the government work report by enterprises hot, many entrepreneurs believe that the large amount of information constituted by the big data has become an important strategic resources, not only related to industrial development, but also with national security, become the current countries competing layout of the bonanza.     Nine Wang Yushou, executive president of the Financial Data Co., Ltd., a guest of CCTV finance, and Beijing Financial Bureau party secretary Xuewen together to explore how big data will bring about changes. Beijing September 19 Night, Alibaba listed, its share price ...

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall Data quality (information Quality) Is the basis of the validity and accuracy of the data analysis conclusion and the most important prerequisite and guarantee. 　Data quality assurance (Quality Assurance) is an important part of data Warehouse architecture and an important component of ETL. ...

Cloud computing data processing and storage are carried out on the cloud platform, computing resource owners and users of the separation has become the inherent characteristics of the cloud computing model, resulting in users of their own data security storage and privacy concerns are inevitable. Specifically, user data even includes privacy-related content in remote computing, there are potential for intentional or unintentional leaks in storage and communication, as well as data loss caused by failures such as power outages or downtime, even for unreliable cloud infrastructure and service providers, and may be inferred from the analysis of user behavior, Learn about the user's privacy letter ...

The hottest science and technology terms for 2013 are none other than "big data," and related books have long dominated the list of bestsellers, giving unprecedented attention to big data. The new ideas brought by big data are gradually penetrating into every industry and changing the way we all think as creators of data. Before the advent of big data, it was a period of rapid development of technologies such as the Internet, cloud computing and Internet of Things. With the popularization and extensive construction of information terminals such as intelligent terminals and digital cities, anyone at any time, anywhere ...

In today's era of big data, businesses can learn more about consumers through a number of channels and can even understand what they need than consumers themselves. But in fact, very few companies really understand the depths of consumers, to give attentive personalized service, the enterprise is not enough intentions or the customer is too picky? In the data age, how companies should be better and faster to meet consumer spending Personal needs, to reach their psychological expectations? In the big data support, the company's personalized service will become more reliable, more popular? The rapid growth of big data and related technologies ...

Big data surging, red IT industry has never lacked a new concept, the term, new technology, update fast, the launch of the fierce, dizzying. 　　After cloud computing and social networking, big data is now on fire again, surging, and seems to be the most fashionable word in the 2012 Information technology field. Oracle, SAP, IBM, Microsoft and other IT giants, such as looking for a new gold mine, began to dig up large data, multi-directional promotion of large data concepts, especially SAP Hana and Oracle ...

With the advent of cloud computing, "big data" has become one of the most widely discussed keywords in the industry, and many companies are already looking for the right bi tool to handle large data collected from different sources, but despite the increased awareness of large data, 　　But only a few companies, such as Google and Facebook, can really use big data to tap into business value. In fact, with the advent of the large data age, the enterprise's understanding of large data should not be limited to the basic technology such as Apache Hadoop, the enterprise should be from the infrastructure perspective to understand and ...

Victor Maire Schoenberg and Kenneth Couqueil in the big Data age tell us the 4V features of large data, namely volume (mass), velocity (high Speed), produced (variety), veracity (real). Large data must be complex compared to small data. However, complexity is definitely an opportunity, not a problem, for us. In the face of the big data age, how to embrace the big data, from the change of thinking way to begin. From "Based on presets ..."

Intel anthropologist Genevieve Bell shared her research on big data, thinking deeply about possible changes to the future from big data, and exploring the implications of these big data phenomena in many different contexts. &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; "For me, in this job, the data itself is not what makes me feel the most ...

"Tenkine Server channel March 19 News" March 18, the tide held a press conference in Beijing, officially launched the first domestic financial industry-oriented large data customization machine-wave of cloud financial large data machine. 　　The product is the wave group and the domestic leading financial information solutions provider of the South-day information jointly launched for the financial industry's large data mining, analysis platform. In the past 2013, China's financial sector is perhaps the most hot talk of internet finance, internet finance is related to the application of large financial data. Tide is the leading manufacturer of large data processing platform, South Day ...

After cloud computing, IoT and mobile Internet, big data is the product of a new generation of advanced business applications such as information technology and e-commerce, social networking, and smarter cities. How do you capture the huge business value? Wuhan was the first to make overall planning, yesterday, the city's Executive Council principles adopted the "Big Data Industry Development action plan." The city plans to focus on building the optical Valley Cloud Village, zuo Large data industry park, such as the two major bases and Wuhan municipal Government data Center, National Geospatial Information Cloud Data Center and other 7 centers, is expected in 5 years to form a 200 billion-yuan industrial scale, LED ...

Choosing new hardware, storage, and other datacenter infrastructures for large data is a new challenge for IT professionals. Large data is unstructured information with unprecedented scale and form. It includes video, images, and semi-structured data (such as e-mail and text that is common on the web). 　　With more and more sensor-based mobile web monitoring devices and output data, the amount of data available continues to grow exponentially. The pressure to implement big data strategies often comes from the top, because managers believe that companies that can effectively use data will have greater advantages than those who are lagging behind ...

Big data is hot now, enterprises, individuals are talking about big data have their own different views and views, but the author through the day-to-day chat with friends, found that many friends still have some misconceptions about large data, such as many people will think Big data is a latest technology, Some friends think that there are more data to serve only one person and so on, these questions we will discuss with you in this issue. Big data is not a new technology big data is now integrated into our lives, people in the day-to-day work of the office will be exposed to large data, the large number of data are always different ...

The new concept stock market is always the most sensitive. After the Bigdata, cloud computing, mobile Internet, the subject of large data investment has aroused great concern in the industry recently. HC Research noted that from the end of 2011 to the beginning of 2012, National Gold Securities, Guotai, Galaxy Securities and other domestic institutions, recommend "large data concept stocks", and predicted that it will become a new line of investment in 2012. What is the performance of large data in the A-share market? Big data as the IT industry's new favorite and rely on what to support performance? Stand in the industry's perspective, view ...