Why Big Data

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Big Data 9 Lessons

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 ...

Take off the big data coat and get out of the big data dilemma

"Enterprise Observer" reporter Jianwen If you want to choose the last two years in the media, the top ten hot words, big Data no surprise will be selected. However, it seems that everyone is aware of the power of large data but cannot find a way to use large data.   Whether it's a business, a government or any other community organization, big data is so close, but so far away. "Big data has become a hot word for people to talk about, but few mention the ability that people need to have in this huge change, and countless businesses and individuals forget to ' count '." "As Vice president of the Business Intelligence Department of Alibaba Group ...

The three main reasons why domestic BI firms passively treat big data

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 ...

The three main reasons why domestic BI firms passively treat big data

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 ...

Outraged, ten questions, big data.

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) ...

The big data that we misread in those years

Now, the industry and academia have been hot on the big data, whether it is academia or it circle, as long as can talk about some big data is very tall. However, big Data mining, big data analysis, big Data marketing and so on are just the beginning of course, there are many people directly criticize the big data or large data marketing to create privacy threats to us, what is the big data in the end? What is the value of it? Today, the industry and academia have been talking about a word, which is big data. Whether it's academia or it, it's big enough to talk about a little bit of data. However, large data mining ...

Farewell to the small time big talk Big data operation

April 20, 2014, in the "era of change: Reality and foresight" China Green Company annual Meeting "Big Data" change enterprise management and management Round Table forum, Xipei, Jiren, Junhao, Feng, Wang Wenjing and other Entrepreneurs Island neighborhood, on large data on the business management and management will bring what changes, What kind of management model and business innovation will bring to share. The following is a live transcript excerpts: Wang Wenjing (Ufida Co., Ltd. Chairman and CEO): Large data on the business and management will bring about what changes, or bring about the management model and ...

Farewell to the small time big talk Big data operation

April 20, 2014, in the "era of change: Reality and foresight" China Green Company annual Meeting "Big Data" change enterprise management and management Round Table forum, Xipei, Jiren, Junhao, Feng, Wang Wenjing and other Entrepreneurs Island neighborhood, on large data on the business management and management will bring what changes, What kind of management model and business innovation will bring to share. The following is a live transcript excerpts: Wang Wenjing (Ufida Co., Ltd. Chairman and CEO): Large data on the business and management will bring about what changes, or bring about the management model and ...

Talking about Alibaba Big Data: Data + platform

The Data Platform Business Unit first used not the MaxCompute (original ODPS) currently in use, but Hadoop. The original Hadoop cluster was named Cloud Ladder 1. At that time, Alibaba was also developing its own computing platform, which was the original ODPS, and named it. Cloud Ladder 2.

Eight reasons why big data projects fail

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 ...

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