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Top 10 data mining tools most needed for big data

The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.

Large data strategy, management and ecological integration

The topic of large data, from west to east, from the IT industry to government officials, has been on fire for two years, but there is no consistent definition. At present, the industry generally agree with Gartner's description, that is, the "3V" Characteristics of the dataset, is large data.   The first one is volume, great data quantity, second is produced, very complex data type and data source, its three is velocity, very high data generation, propagation, and reaction speed. In my opinion, the "data gap" in the large data age of the organization decision makers needs to have a big data war ...

Web analytics What kind of tools do I need? (2)

The intermediary transaction SEO diagnoses Taobao guest cloud host technology Hall "Preface" Tool is the website analysis indispensable element. But how to choose a desirable tool is not so easy. How to choose the right tools according to the needs of different websites? This is a problem that many friends are concerned about.   In the first installment of this topic, we discussed the choice of small ecommerce sites for tools, and in the second, we look at how midsize and large E-commerce sites choose web Analytics tools. Requirements and Tools (cont. 1) Type II: ...

The electronic Business of traditional enterprise: the layout, the broken bureau and the integration of the electric business

The intermediary transaction SEO diagnoses Taobao guest cloud host technology Hall Enterprise key to deal with two block business is the product and the user. With the transfer of user's consumption habits, the enterprise's Operation center of gravity also needs to change, so the traditional enterprise of electronic business becomes an irreversible trend. However, many traditional enterprises are not deep in understanding, do not know how to start, the author will be from the layout, broken bureau, Fusion 3 points into, for everyone to explain in detail: Recently, with some traditional business owners and electrical business leaders to communicate, heard more is, 2013 again lost a lot of money, the electrical business does not know how to cloth ...

The new role of XML in cloud data integration-using XML to integrate Salesforce data with enterprise applications

Cloud computing: Redefining IT over the past year, cloud computing exploded, including a variety of applications-such as Salesforce CRM and Google apps-and services-such as hosting Amazon elastic Compute Cloud (Amaz On EC2) ibm®db2®, Google ...

The five challenges and coping strategies faced by China's large data industry

Victor Maire-Schoenberg, one of the authors of the Great Data Age: A major change in life, work and thinking, has said that, as telescopes allow humans to perceive the universe, microscopes allow humans to observe microbes, and big data opens up a major transformation of the times. Large data, the most fashionable word in the IT field, is simply the ability to quickly obtain value information from a variety of data. The United States was the first country to discover and use the value of large data science. March 2012, the Obama administration announced the investment of 200 million dollars to pull big data related industry development, will "big data ...

Alibaba Cloud big data mining tools released

Ali cloud computing officially released on the 25th big data tools mining cloud room - based on ODPS simple tool solution. With the use of mining clouds, small and mid-sized companies no longer need to purchase millions of BI software, greatly reducing the threshold for big data analysis. Cloud mining is a Web-based online tools, referred to as DPC (Data Process Center), the internal integration of Ali data developer kit and business intelligence suite. Currently free beta version features include data factory, task management and data synchronization: data factory mainly provide ODPS ...

Shiji: How China should respond to the challenges of the big data age

Recently, I returned to attend some university seminars, government departments of the symposium and the training activities of enterprises, the theme is large data, nowadays, the major domestic newspapers and magazines are also discussing this hot topic, but I found that the Chinese society on the "big data" concept still some inaccurate understanding or even the concept of misunderstanding, In particular, the strategic significance of large data at the national level is underestimated and needs to be deepened. Small data to large data "big data" is a new wave of technology, but also gradually formed a historical phenomenon, its specific refers to the increase in the amount of information storage, the human in practice gradually recognized ...

The whole time: the road of agitation industry integration

Video conferencing, as a remote communication tool, not only changed the meeting mode, but also fundamentally changed the way people live and work, it not only reduces the cost of communication, but also greatly improve the efficiency of the Office, become the enterprise information strong heart needle. With the evolution of technology, all kinds of network meetings, conference calls, hardware video conferencing, mobile conferencing have their own advantages to serve the enterprise, become an important enterprise communication tools. The real problem is that many enterprises adopt one or more different communication systems, within the enterprise or with the upstream and downstream enterprises in the communication and cooperation, the different conference system how to be in the network level ...

13 Open source tools based on large data analysis system Hadoop

Hadoop is a large data distributed system infrastructure developed by the Apache Foundation, the earliest version of which was the 2003 original Yahoo! Dougcutting based on Google's published academic paper. Users can easily develop and run applications that process massive amounts of data in Hadoop without knowing the underlying details of the distribution. The features of low cost, high reliability, high scalability, high efficiency and high fault tolerance make Hadoop the most popular large data analysis system, yet its HDFs and mapreduc ...

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