Test Data Management Tools Gartner

I took part in Gartner Data Center Conference, held in Las Vegas, USA, in December, hoping to learn more about how corporate IT professionals think about virtualization and cloud computing through this live observation. Although I personally do not like the Las Vegas, but I still stroll around the pinball fans must visit the resort: Pinball Hall of Fame (Pinball Hall of Fame). From the point of view of information security, the attitude of Gartner analysts and attendees to cloud computing gives me a few points ...

1. The introduction of large data production makes data analysis and application more complex, difficult to manage. According to statistics, the amount of data produced in the world over the past 3 years is more than the previous 400 years, including documents, pictures, videos, web pages, e-mail, microblogging and other types, of which only 20% are structured data, 80% is unstructured data. The increase of data makes the data security and privacy protection problem become more and more prominent, all kinds of security incidents to the enterprise and user wake-up alarm. Throughout the data lifecycle, businesses need to comply with stricter security standards and confidentiality rules ...

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 ...

Like a high bonus car Grand Prix, first prepare the car, familiar with the track, and then adjust the good mentality, timely sprint, to get a good position. The big data also has the gestation period, the preparation period, the result originates from the demand and the desire. 　　Each period has pain points and difficulties, the result is the best. Big data has big energy. It is significant for economic growth-"in the US, in retailing and manufacturing alone, big data analysis has the potential to raise GDP by 325 billion dollars." "This is an exciting estimate from analysts. In the global economic growth slowdown and even fatigue is all the more urgent need for new ...

The impact of big data on education is comprehensive. It can change the learning situation of individual learners, the depth of understanding of the laws of education, the way in which educational policies are formulated, and the structure of the entire education system.

Gartner presented the BI concept in 1989. Gartner further upgraded the BI concept to advanced analysis (Advanced Analytics) in 2008. 2011, McKinsey explained the concept of large data. The names are different, but the problems they are trying to solve have never changed. However, now large data analysis technology can deal with more than 20 years ago, a larger, more diverse, real-time (Volume, produced, Velocity) data, that is, large number ...

Today, almost no one will doubt the value of large data, people are more concerned about how to really put large data into the application, really play its value. But despite the industry's exploration, it is still in its infancy to objectively see the overall development of large data. In other words, the recognition of large data concepts does not mean that large data can be exploited. Especially in China, although the large data has a good industrial base and development prospects, but the low level of data resources, the protection of data assets and other practical problems are currently facing the main challenges. How to deal with these challenges ...

A few months ago, Microsoft announced its own version of the Hadoop release hdinsight for Big Data management, analytics and mining. 　　The reporter contacted the senior product marketing manager, Val Fontama, of SQL Server, hoping to learn more about Microsoft's corporate-class data. On the growth trend in the size of datasets in the enterprise: The ocean of data has been growing. There is a forecast that the volume of business information is doubled each year. For example, Gartner found all ...

From the Silicon Valley firm, to everyone's discussion of the bubble problem, how large data and artificial intelligence combined? What is the prospect of science and technology in the 2015? Dong Fei, a Coursera software engineer from Silicon Valley, sorted out the dry goods and various occasions in his recent Stanford public lectures to share with you. He has a hands-on experience, as well as a detailed analysis of some of the companies that have worked or studied in depth, such as Hadoop, Amazon, and LinkedIn. Dong Fei page Here, the mailbox is Dongfeiwww@gmail ....

Attracted by the advantages of new technologies, many business intelligence (BI) executives are starting to consider deploying the latest tools in the hope of efficient integration and management of decentralized data. For BI executives, the temptation to navigate the data ocean makes them willing to take risks, despite the enormous pressure challenges. However, analysts warn that relying on the latest BI tools and emphasizing high-speed processing of data can lead to the wrong direction, because too much attention to data collection and consolidation will make the value of data being overlooked. Bi executives now need to deploy rationally and stop sticking to technical fast ...