Teradata Cloud Solutions

At present, big data has become a hot topic in the world. Gartner ranked large data as the most important technical direction for CIOs in the 2012, and IDC believes that big data is one of the most significant aspects of the enterprise's capacity reserve. In the recently held Teradata Data Warehouse and Enterprise Analysis Summit, the industry's hot talk "Data gold", looking forward to the bright future of the big data age. China Cloud reporter was fortunate to interview the Teradata company Chief Technical Officer Baoliming (Stephen BROBST), Teradata How to ...

Teradata drives Global database technology change the smartest database software, the most intelligent analysis of China, Suzhou-the world's leading data analysis solutions manufacturer Teradata (Teradata Corporation, NYSE: TDC) Recently announced in the global issue of Teradata database 14 databases, the database has more than 80 new features and 60 new built-in analysis functions, to provide customers with transformative database technology, support breakthroughs ...

Teradata, chief executive of the Greater China region, Singlun, said in an interview with Sina Science and technology, with the arrival of large data era, enterprises should be in the internal training of three kinds of ability: first, the ability to integrate enterprise data; second, explore the value behind the data and the ability to develop precise action programmes; The ability to perform accurate and rapid real-time operations. Data rapid growth Teradata Company is an intelligent analysis solutions vendors, mainly for enterprises and government agencies do data integration, analysis, exploration, mining data behind the value, thereby enhancing customer production competitiveness ...

With the emergence of new channels and technologies such as social networks, mobile computing and sensors, a large number of new data have emerged. We live in an era of exponential growth in data, and conventional technology has struggled to cope with the massive amount of data at PB (1024TB) levels. We have entered the era of diversified data. How do we deal with such a large data structure and the age of unstructured information? "The advent of the big data age is beyond doubt," he said, as he interviewed Teradata, Stephen Brobst Baoliming, chief technical officer. Only those ...

October 9 Morning News, Teradata Company Greater China chief executive Singlun recently accepted Sina Science and technology interview pointed out that large data has indeed become a new focus of IT industry, but has not yet reached the application of the outbreak stage. Small and medium-sized enterprises need large data with the development of cloud computing technology, "big data" has become a hot topic in IT industry, many IT companies also launched a large data analysis solution. As a focus on data analysis and business intelligence manufacturers, Teradata Company in Greater China, the United States and other international markets are actively engaged in ...

Sky Cloud Trend, one of the core enterprises of cloud base, is the cloud base to work together trend technology, should "cloud" and born enterprise. It is influential in the open source World: Hadoop Source code contribution to the world eighth, many in the Hadoop, HBase, flume projects in the committer;cloudstack of the Chinese community, the substantive leader in 2012, in-depth China's two or three-line cities to host dozens of open source technology training, Train a group of Cloudstack and Hadoop professional and technical personnel. "2012 Cloud World Congress", CSDN Clou ...

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 ...

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 ...

If you have a lot of data in your hands, then all you have to do is choose an ideal version of the Hadoop release. The old rarity, once a service for Internet empires such as Google and Yahoo, has built up a reputation for popularity and popularity and has begun to evolve into an ordinary corporate environment. There are two reasons for this: one, the larger the size of the data companies need to manage, and Hadoop is the perfect platform to accomplish this task-especially in the context of the mixed mix of traditional stale data and new unstructured data;

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...