Why Do We Use Data

Joe http://www.aliyun.com/zixun/aggregation/33805.html ">brightly, a huge fan of Hadoop, I've been on countless occasions to admit that I love Hadoop for data processing, for example, "You can handle PB-level data, you can scale to thousands of nodes that handle a lot of computing work, you can store and load data in a very flexible way ..." but when he deploys hadoop for large data processing analysis ...

The intermediary transaction SEO diagnoses Taobao guest cloud host technology Hall billion Power network case Center editor-in-chief Wei The Science and Technology COO Zhang Shaofeng The Korea all clothing House PR director Chen the electricity merchant experienced the extensive brutal growth, gradually enters the fine operation stage, the data mining and the analysis also becomes the new target which the electricity merchant enterprise exerting force. 　　What data mining directly drives sales growth in the finer battles of this data? How do I turn data into sales? Less than 5% power companies have data mining team billion power ...

I was once a staunch supporter of Hadoop. I like it to handle PB-level data easily, like it can extend operations to thousands of-node http://www.aliyun.com/zixun/aggregation/13452.html "> Distributed computing Capabilities, It also likes the flexibility of storing and loading data. But after a series of explorations and use, I was very disappointed with Hadoop. Here's why I don't use Hadoop for data analysis ...

When large data, namely big and cloud computing, mobile applications and social networks, became popular in the 2012, it was the most fashionable word in the field of information technology. IBM, Oracle, SAP, Microsoft and other vendors, like the search for a new gold mine, began to strongly promote the big data concept. As a result, many vendors flocked to grab the big data market, especially SAP's Hana and Oracle's exalytics. In contrast, some of the companies that push bi are not up to the level of large data, sticking to the position of the report analysis. In fact, big data really has ...

Innovative report from the dean of top research institutes when all our actions and our lives can be "data", the company that holds the data is like owning a rich gold mountain. 　　As Victor Maire-Schoenberg says, the big data age is "the future that has happened," and in this already-occurring future, there is no bystander. December 19, 2013, by the boutique media "digital Business Times" sponsored by the "Great data creation of the era of Subversion" 2013 China Summit Forum in Beijing to make a grand Holiday Crowne Plaza Hotel ...

When large data, namely big and cloud computing, mobile applications and social networks, became popular in the 2012, it was the most fashionable word in the field of information technology. IBM, Oracle, SAP, Microsoft and other vendors, like the search for a new gold mine, began to strongly promote the big data concept. As a result, many vendors flocked to grab the big data market, especially SAP's Hana and Oracle's exalytics. In contrast, some of the companies that push bi are not up to the level of large data, sticking to the position of the report analysis. In fact, big data really has ...

For the IT sector, there are a number of very new concepts recently, such as cloud computing and the Internet of things, and when people are beginning to have a clear understanding of these concepts, another new concept emerges-big data. What is big data? Where does the big data concept point to, and how can the big data change our lives? Will it bring trouble to our life and work? This newspaper worked with the first financial brainstorming program to explore the problems of the big data age. Participants in this discussion have a large data concept of the author, Oxford University professor Victor Maire Schoenber ...

Big Data has now become the focus of attention, many companies are struggling to put their own data to use, hoping to provide support for important decisions. While big data hype and hype are raging, 92% of companies remain neutral, planning to start at "the right time" or to say they don't intend to touch big data projects. 　　In companies that have already hands-on big data projects, most fail and often fall into the same trap. The key to success with large data projects is to build an iterative program that encourages existing members ...

In the internet age, large data is hot, many people must pro data, but can really say that the big data is not much, not to mention how to use large data to dig out the great business value. 　　How do you define large data? What are the characteristics of large data? This paper aims to clarify the concept of large data, illustrate the application of large data and explore the future development of large data. 　　Q1: Is big Data a commercial hype? The industry's definition of large data is 4 "V": Large volume (Volume), multiple species (produced), fast (velocity) ...

In recent years, there have been a lot of big data in the film and television cases, the word Netflix is estimated to let everyone ears to listen to the cocoon, another British script semantic analysis of the company Epagogix also become a small hot word. Mysterious Big data and mysterious film industry, after the combination, it is plated with the metaphysical color, it seems you today in social media sneeze, is worried about whether you have a cold, I will be able to make a horror film on avian flu theme tomorrow, and let you have to see the impulse. In fact, people in the video industry know that the so-called "card house" style of success ...