Mine That Data

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The intermediary transaction SEO diagnoses Taobao guest Cloud host technology Hall the misunderstanding of Big data: data statistics is what has happened, and large data is often used to predict or recommend what has not happened, the two cannot be equated. 　　   　　However, regardless of data statistics or large data, it is to make the work more effective, so that decision-making more rational and accurate. The big data is so hot that it is widely used in all walks of life, and there are obvious signs of overheating in the near stage. is large data a marketing term or a methodology?

Large data is not a patent in the ICT industry. At present, the financial, radio and television and other traditional industries are actively using the power of large data to help enterprises to achieve transformation. In the power industry, large data has been regarded as an important issue at the strategic level of the enterprise: The State Grid has set up three large data centers in Beijing, Shanghai and Shaanxi, of which more than 10,200 sensors have been installed in the large data center of Beijing, which can save a value of about 300,000 yuan per month. So how does the power industry apply big data? In the face of the challenges of the power industry, what are the common features of telecommunications and what are the opportunities for telecommunications? Electricity ...

Large data is not a patent in the ICT industry. At present, the financial, radio and television and other traditional industries are actively using the power of large data to help enterprises to achieve transformation. In the power industry, large data has been regarded as an important issue at the strategic level of the enterprise: The State Grid has set up three large data centers in Beijing, Shanghai and Shaanxi, of which more than 10,200 sensors have been installed in the large data center of Beijing, which can save a value of about 300,000 yuan per month. So how does the power industry apply big data? In the face of the challenges of the power industry, what are the common features of telecommunications and what are the opportunities for telecommunications? Electricity ...

The Data Platform Business Unit first used not the MaxCompute (original ODPS) currently in use, but Hadoop. The original Hadoop cluster was named Cloud Ladder 1. At that time, Alibaba was also developing its own computing platform, which was the original ODPS, and named it. Cloud Ladder 2.

Titanium Media Note: Large data is too hot, is widely used in all walks of life, and the near stage has obvious signs of overheating. Is big data a marketing term or a methodology? The author, Lao Li, is a senior employee of a large data service provider, and his project is to conduct large data analysis for different industries. In his opinion, you must first have a basic understanding of big data, that is "a lot of data is not necessarily of value". In addition, data statistics are not equal to large data, data statistics and large data is the difference between artificial intelligence. Long Wen Shen ...

Large data Applications March 2012 The Obama administration issued a "Big data research and development plan". In response, the National Science Foundation, the National Institutes of Health, the Ministry of Defence, the Department of Energy and the United States Geological Survey are investing in big data innovation. Many companies in the United States are conducting their business activities around large data acquisition and utilization capabilities as part of their product or operational backend. Research groups, governments and the private sector are also speeding up the generation of large datasets of various themes, including: Climate change, traffic patterns, health and disease data, buying behavior ...

This article describes ways to perform large data analysis using the R language and similar tools, and to extend large data services in the cloud. In this paper, a kind of digital photo management which is a simple and large data service is analyzed in detail, and the key elements of searching, analyzing and machine learning are applied to the unstructured data. This article focuses on applications that use large data, explains the basic concepts behind large data analysis, and how to combine these concepts with business intelligence (BI) applications and parallel technologies, such as the computer Vision (CV) and ... as described in part 3rd of the Cloud Extensions series.

In recent years, the term "big data" has been increasingly mentioned, and it has been used to describe and define the vast amount of data generated by the age of information explosion. The world is boiling over the concept of big data, and all walks of life are exploring the opportunities and challenges of the big data age. Large data as cloud computing, after the internet IT industry is a major subversive technology revolution, and information, intelligence, digitalization and intelligent city construction closely related to grasp the background of large data, characteristics, trends, to better promote the construction of intelligent city is of great significance. .

The big data age is not popping up, and in fact, in the past few decades, mathematical analysis has dabbled in the financial sector, with Nobel laureate Harry Markwitz, William Sharp, Robert Engle uses econometric knowledge and financial market data to establish mathematical models to predict the relationship between product returns and risk volatility in financial markets. The emergence of a large data age is simply a result of the combination of massive data and perfect computing power. To be exact, mobile Internet and IoT produce huge data, and large data computing technology solves the collection, storage and calculation of massive data perfectly 、...

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 ...

Large data from the original concept of the proposed to become like soil, mineral assets, how to obtain data assets? How to use data assets to promote industry innovation? How to realize the increment and realization of data assets? December 11, 2014 Zhongguancun Large Data day in the Zhongguancun Software Park Yun Plaza Hotel as scheduled, and through the New York Times Square Large screen synchronized presentation. With the theme of "aggregating data assets and promoting industrial innovation", the Conference explores key issues such as data asset management and transformation, large data depth technology, and industry data application innovation and ecosystem construction. The Assembly also carries the authority from the government department ...

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 ...

May 2014, the Executive Office of the United States (Executive Office of the President) released the 2014 global "Big Data" white Paper – Big Data: Seize the opportunity, Guardian value (Bigdata:seize opportunities, Preserving Values) (hereinafter referred to as "white Paper"), the United States of large data application and management of the status quo, policy framework and improvement proposals are focused on. The value represented by the white paper ...

Integration strategy Data integration refers to the combination of data from different systems for business users to study different industry behavior and customer behavior data processing methods. In the early days of data integration, data was limited to trading systems and their applications.   The development of business decision is guided by the decision platform, and the limited dataset provides the foundation of creating the decision platform. Data capacity and data types have grown dramatically over the past 30 years, with data warehousing technology from scratch, and infrastructure and technology to meet analysis and data storage requirements. All this has revolutionized the prospects for data integration. ...

Integration strategy Data integration refers to the combination of data from different systems for business users to study different industry behavior and customer behavior data processing methods. In the early days of data integration, data was limited to trading systems and their applications.   The development of business decision is guided by the decision platform, and the limited dataset provides the foundation of creating the decision platform. Data capacity and data types have grown dramatically over the past 30 years, with data warehousing technology from scratch, and infrastructure and technology to meet analysis and data storage requirements. All this has revolutionized the prospects for data integration. ...

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

The coming 2013 is considered to be a "year of big Data" with a trans-era significance. 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 have started to practice big data. In order to further understand the real situation of large data application of Chinese enterprises ...

Meng question: Q: I know what is the data, but what is the big data? A: Have you Seen "Sherlock Holmes"? Sherlock Holmes was always able to draw accurate conclusions by observation, and in others ' eyes he was as capable of prophecy as God. In fact, he was merely combining and analyzing the observed information and drawing conclusions through reasonable deductive reasoning. For example, he will analyze the victim's nails that greasy hair silk is the life habits of people, and the soles of the mud in the cracks in the surrounding areas will have. In the age of large data, everyone can be a fulcrum ...