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Big data may be the most hot word in the tech world and VC circles. It seems that internet companies, even traditional industry companies, that don't have much of a big data connection have no future. is a hot word, there must be a bubble. Under the bubble, some companies that are really creating and digging into big data values, especially startups, are not known. There are companies that may still be in stealth mode, and they are now busy finishing the final finishing touches that will make it possible to change the rules of the game. Many of these big data startups ' teams come from Google ...

Big data may be the most hot word in the tech world and VC circles. It seems that internet companies, even traditional industry companies, that don't have much of a big data connection have no future. is a hot word, there must be a bubble. Under the bubble, some companies that are really creating and digging into big data values, especially startups, are not known. There are companies that may still be in stealth mode, and they are now busy finishing the final finishing touches that will make it possible to change the rules of the game. Many of these big data startups ' teams come from Google ...

When it comes to big data, many people first think of internet companies, such as Google, Baidu and Alibaba. Internet companies in the large data analysis has indeed walked in the forefront of the industry, its aura also obscured the industry's big data shine. IDC defines big data with "4 V": volume represents greater capacity, produced represents a variety of data, velocity represents faster processing speed, and value means that large data can create more value. Tianjin Nanda General Data Technology Co., Ltd. (hereinafter referred to as the General) chief technical Officer Vounie said, such as ...

There is no doubt that the big data age has come. So how do we deal with this situation? 　　Now, let's hear what the experts with the experience say. First, we need to know how to make the most of the big data in hundreds of terabytes of information. It all depends on the individual's needs and preferences. Interclick Advertising Services has found a way to provide more efficient solutions while providing near-real-time data analysis. Harvard Medical School also learned that in terms of the number of patients and years to keep the ...

All along, data analysis has played an important role in harnessing the benefits of electronic storage of information. Some organizations use data analysis solutions to provide insights into increasing revenue, increasing market share, reducing costs, and achieving scientific breakthroughs. Today, as business processes become more automated, the map of data analysis is expanding. Previously stored in separate online and offline repositories, information in various formats can now be stored in digital format, ready for consolidation and analysis. As a result, executives are increasingly demanding data and expect faster, more efficient solutions. Organizations also pay more attention to data ...

Michael Stonebraker is a pioneer in the field of databases. His deep expertise has also helped to develop some of the most popular database systems such as Postgres, Ingres and Vertica. One of his most recent studies is VoltDB, a memory-based OLTP (Online Transaction Processing) system, which he claims is two orders of magnitude faster than traditional solutions. However, Stonebraker's opinion has been controversial over the years, on the one hand being ...

There is no doubt that the big data age has come. So how do we deal with this situation? 　　Now, let's hear what the experts with the experience say. First, we need to know how to make the most of the big data in hundreds of terabytes of information. It all depends on the individual's needs and preferences. Interclick Advertising Services has found a way to provide more efficient solutions while providing near-real-time data analysis. Harvard Medical School has also learned that data can grow significantly in the case of the number of patients and the data that remain unchanged for years. ...

Michael Stonebraker is a preacher in the database field. He has a deep professional attainments and helped develop some of the most popular database systems, such as http://www.aliyun.com/zixun/aggregation/14171.html ">postgres,ingres and Vertica." His latest research is VOLTDB, a memory-based OLTP (online transaction processing) system, which he claims is two faster than the traditional solution ...

10 predictions about the 2013-year cloud computing market are coming! Hybrid cloud, cloud Service Broker, large data and software definition Network (SDN) are all indicative of the major trends of cloud computing market in the 2013. Industry analysts say the current attempt at cloud computing is over. In the 2013, businesses needed to implement a hybrid cloud strategy that placed some of the selected workloads on the public cloud while keeping other parts running on the internal infrastructure. John Treadw, vice president of Marvell Cloud, consulting firm.