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First, an overview of the php tutorial -excelreader is a php class that reads excel xsl file contents. Its download URL: http://sourceforge.net/projects/phpexcelreader/ The blog download address: phpexcelreader.zip test with ex ...
Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall Internet analysis of IIS tools is a lot, but I did not meet to meet my requirements, Generally, you can only query the number of spiders crawling in the IIS log. Here is a simpler and more practical way to make a series of data, such as time, that you want through some simple formulas in Excel.
As other manufacturers have focused more on "How to use big data for industrial transformation and corporate Innovation", Microsoft has begun to show how to use the right technology and tools so that everyone in the general public can intuitively gain insights from big data. October 18, Microsoft Global Senior Vice President, He Lebin, chairman and chief executive of Greater China, told reporters on "Big data media day" that "unlike the way other companies handle big data, Microsoft advocates thinking about the use of large data in three ways, from discovering data, analyzing data, and visualizing data." Microsoft Big Data Vision ...
In large data technology, Apache Hadoop and MapReduce are the most user-focused. But it's not easy to manage a Hadoop Distributed file system, or to write MapReduce tasks in Java. Then Apache hive may help you solve the problem. The Hive Data Warehouse tool is also a project of the Apache Foundation, one of the key components of the Hadoop ecosystem, which provides contextual query statements, i.e. hive queries ...
There is one Mr Big in our city, he is so great that he has the power to change the world, to see what is happening, to foresee what is to come, to help us create a moving surprise, to see what is happening--with big data, who can become mr.big. The picture is Microsoft Global Senior vice president, Greater China Region Chairman and Chief Executive Officer Hele (Ralph haupter) in the Microsoft Big Data Strategy conference speech above is excerpt from yesterday Microsoft in Beijing launches its big data strategy the scene to play ...
The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more similar ...
The purpose of data mining is to find more quality users from the data. Next, we continue to explore the model of the guidance data mining method. What is a guided data mining method model and how data mining builds the model. In building a guided data mining model, the first step is to understand and define the target variables that the model attempts to estimate. A typical case, two-dollar response model, such as selecting a customer model for direct mailing and e-mail marketing campaigns. The build of the model selects historical customer data that responds to similar activities in the past. The purpose of guiding data mining is to find more classes ...
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 ...
The purpose of data warehouse is to build an integrated data environment oriented to analysis, and to provide decision support for enterprises (Decision-support). In fact, the data warehouse itself does not "produce" any data, at the same time does not need to "consume" any data, data from the outside, and open to external applications, which is why called "Warehouse", not called "factory" reasons. Therefore, the basic structure of the data warehouse mainly contains the data inflow and outflow process, can be divided into three layers-source data, data Warehouse, data application: From the graph can be seen data warehouse data from ...
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