Sql Age Calculation

How fast is the tide of big data? IDC estimated that the amount of data produced worldwide in 2006 was 0.18ZB (1zb=100), and this year the number has been upgraded to a magnitude of 1.8ZB, which corresponds to almost everyone in the world with more than 100 GB of hard drives. This growth is still accelerating and is expected to reach nearly 8ZB by 2015. The storage capacity of the IT system is far from adequate, let alone digging and analyzing it deeply. In this article, Baidu Chief scientist William Zhang, Teradata Principal customer Officer Zhou Junling, Yahoo!...

How fast is the tide of big data? IDC estimated that the amount of data produced worldwide in 2006 was 0.18ZB (1zb=100), and this year the number has been upgraded to a magnitude of 1.8ZB, which corresponds to almost everyone in the world with more than 100 GB of hard drives. This growth is still accelerating and is expected to reach nearly 8ZB by 2015. The storage capacity of the IT system is far from adequate, let alone digging and analyzing it deeply. In this article, Baidu Chief scientist William Zhang, Teradata Principal customer Officer Zhou Junling, Yahoo! North ...

When Hadoop enters the enterprise, it must face the problem of how to address and respond to the traditional and mature it information architecture. 　　In the industry, how to deal with the original structured data is a difficult problem for enterprises to enter large data field. When Hadoop enters the enterprise, it must face the problem of how to address and respond to the traditional and mature it information architecture. In the past, MapReduce was mainly used to solve unstructured data such as log file analysis, Internet click Stream, Internet index, machine learning, financial analysis, scientific simulation, image storage and matrix calculation. But ...

Recently, in the Sybase IQ 15.4 Media activities, CSDN United several technical media jointly interviewed Sybase China technical director Lu Dongming. Lu Dongming shared views on the impact of large data on traditional database vendors, the comparison of column-and row-style databases, and other hot topics. Sybase China technical director Ludoming Ludomin first introduced SAP's 5 major database products: Sybase re-use Server enterprise abbreviation ASE (line database) Sy ...

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 development of any new technology will undergo a process from the public to the final universal application. Large data technology as a new data processing technology, after nearly a decade of development, has just begun to be applied in various industries. But from the media and public view, the big data technology always has the mysterious color, appears to have the magical power which digs the wealth and forecasts the future. Widely circulated large data applications include the target supermarket based on the girl's shopping history to determine whether pregnancy, credit card companies based on the user in different time and space shopping behavior to predict the customer's next purchase behavior, and so on. Large Data Technology ...

Spark is a cluster computing platform that originated at the University of California, Berkeley Amplab. It is based on memory calculation, from many iterations of batch processing, eclectic data warehouse, flow processing and graph calculation and other computational paradigm, is a rare all-round player. Spark has formally applied to join the Apache incubator, from the "Spark" of the laboratory "" EDM into a large data technology platform for the emergence of the new sharp. This article mainly narrates the design thought of Spark. Spark, as its name shows, is an uncommon "flash" of large data. The specific characteristics are summarized as "light, fast ...

October 25, 2012 cloud Computing Architect Summit held in Beijing. In recent years, it technology and the development of the Internet has affected the whole industry pattern, bringing new and fresh business model. In the face of these changes, this Conference invited the Baiyu industry elite for IT technology development and application of practical experience and other hot topics for in-depth discussion. Mr. Feng, director of the China Cloud Computing Innovation Center at Microsoft Asia-Pacific Research and Development Group, delivered a wonderful speech on the theme of "A New world of Big Data", and the following is a transcript of the speech: Today I am delighted to have such an opportunity to lead with you, as well as the IT industry.

"Abstract" when Hadoop enters the enterprise, it must face the problem of how to solve and deal with the traditional and mature it information architecture. In the past, MapReduce was mainly used to solve unstructured data such as log file analysis, Internet click Stream, Internet index, machine learning, financial analysis, scientific simulation, image storage and matrix calculation. But in the enterprise, how to deal with the original structured data is a difficult problem for enterprises to enter into large data field. Enterprises need large data technologies that can handle both unstructured and structured data. In large data ...

"Abstract" when Hadoop enters the enterprise, it must face the problem of how to solve and deal with the traditional and mature it information architecture. In the past, MapReduce was mainly used to solve unstructured data such as log file analysis, Internet click Stream, Internet index, machine learning, financial analysis, scientific simulation, image storage and matrix calculation. But in the enterprise, how to deal with the original structured data is a difficult problem for enterprises to enter into large data field. Enterprises need large data technologies that can handle both unstructured and structured data. In large data ...