Transaction With Replicated Data

It can be said that big data is one of the hottest trends in the IT industry today, and it has spawned a new batch of technologies to deal with big data. And new technologies have brought the latest buzz words: acronyms, professional terms, and product names. Even the phrase "big data" itself makes a person dizzy. When many people hear "big data", they think it means "a lot of data", and the meaning of large data does not only involve the amount of data. Here are a few popular words that we think you should be familiar with, sorted alphabetically. ACID ...

In the late 80 and the early 90, an intriguing phrase was widely circulated at home and abroad: we are immersed in the ocean of data, but thirst for the fresh water of knowledge. This sentence vividly depicts people in the face of the vast numbers of confusion and helplessness. Just then, Wal-Mart, the world's business giant, deduced a "beer and diapers story" from its vast trading database. Reveals a pattern of behavior that is hidden in the vast numbers of Americans: Young Fathers aged 25-35 often go to the supermarket to buy diapers for their babies after work, and 30%-40% People ...

2012, EMC, IBM, Oracle and other multinational it giants have released large data strategy and products, the United States to implement large data programs, the United Nations to release large data reports, some cities and parks in China announced the development of large data industry ... Big data is undoubtedly the hottest it vocabulary of the year. However, the controversy is always with the hot spots, for large data, opponents think this is just another concept of enterprise processing and selling, another horse racing boom. So, is the big data the IT sector is another concept of speculation, or the inevitable trend of industrial development? is the big data an industry? Sadie Consultant ...

Content Summary: The data disaster tolerance problem is the government, the enterprise and so on in the informationization construction process to be confronted with the important theory and the practical significance research topic. In order to realize the disaster tolerance, it is necessary to design and research the disaster-tolerant related technology, the requirement analysis of business system, the overall scheme design and system realization of disaster tolerance. 　　Based on the current situation of Xinjiang National Tax Service and the target of future disaster tolerance construction, this paper expounds the concept and technical essentials of disaster tolerance, focuses on the analysis of the business data processing of Xinjiang national tax, puts forward the concrete disaster-tolerant solution, and gives the test example. Key words: ...

For companies, 100 theories are not as practical as a successful benchmark. The main idea of this paper is to find 49 samples of “doing” big data.

It can be said that big data is one of the hottest trends in the IT industry today, and it has spawned a new batch of technologies to deal with big data. And new technologies have brought the latest buzz words: acronyms, professional terms, and product names. Even the phrase "big data" itself makes a person dizzy. When many people hear "big data", they think it means "a lot of data", and the meaning of large data does not only involve the amount of data. Here are a few popular words that we think you should be familiar with, sorted alphabetically. AC ...

This reporter slipped Ming fei Shanghai Report "The public comment itself is a large data site." "Public comments, co-founder Longwin, in an interview with the 21st century economic reporter, said that as of the third quarter of this year, the number of comments by the public has reached 42 million. It is also understood that the current public comment on the monthly active users more than 170 million, data service calls in Level 1 billion. For the development of large data, Longwin said that a few years ago, large data in the high-speed development phase, technology is the peak period, and the business is in the desire to explode. In other words, the prior period must have the accumulation of data, and then ...

Today, we are frequently exposed to the term "large data". But the industry still lacks a standardized definition of what big data is. So what does big data mean to the data storage infrastructure? The definition of large data by the Enterprise Strategy Group (ESG) is "a dataset that is larger than the conventional processing capacity boundary, which makes you have to resort to unconventional means." "In simple terms, we can use the word big data on any data collection that breaks through the traditional it processing to support the day-to-day operational capabilities of the business." These boundaries may appear in the following ...

IT administrators have done a lot of work on data protection, including data backup and management. In order to save money in both human and material resources, they face increasing challenges. This problem arises partly because of the growing number of business data, including database data, e-mail data, file sharing data, and so on. It is also because these data need to be kept for a long time to meet evolving business development needs. To reduce the human and material costs of protecting different kinds of data, many companies adopt a multi-level approach to data storage. At the same time, this tiered storage approach ...

In the case of domestic banking without Hadoop technology, Everbright Bank's first application pilot project based on Hadoop technology--The historical Data query project was successfully put into production at the end of October 2013, which is an important milestone in the application of Hadoop technology in the banking system. From Silicon Valley to Beijing, from Zhongguancun to Jinrongjie, the topic of big data is becoming more and more popular, and the exploration of large data technology is more and more extensive. China Everbright Bank, which is committed to creating the most innovative bank, closely follows the business and technology development trend, and has carried out in-depth research on large data technology.