Free Data Modeling Software

Absrtact: Every reporter Xiaixiaoping from Beijing when the traditional management software giants face the transition dilemma, an obscure software company has been favored by the capital. 　　Yesterday, "Daily economic news" reporter from Brocade Information Co., Ltd. (hereinafter referred to as the traditional management software giants facing the transition dilemma, an obscure software company has been favored by the capital.) Yesterday, "Daily economic news" from the Brocade Information Co., Ltd. (hereinafter referred to as Brocade) insiders learned that the domestic VC is with Brocade communication investment matters, Middle road capital ...

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.

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

In the late 80 and the early 90, an intriguing phrase was widely circulated at home and abroad: we are immersed in the ocean of data, but thirst for the fresh water of knowledge. This sentence vividly depicts people in the face of the vast numbers of confusion and helplessness. Just then, Wal-Mart, the world's business giant, deduced a "beer and diapers story" from its vast trading database. Reveals a pattern of behavior that is hidden in the vast numbers of Americans: Young Fathers aged 25-35 often go to the supermarket to buy diapers for their babies after work, and 30%-40% People ...

This year, big data has become a topic in many companies. While there is no standard definition to explain what "big Data" is, Hadoop has become the de facto standard for dealing with large data. Almost all large software providers, including IBM, Oracle, SAP, and even Microsoft, use Hadoop. However, when you have decided to use Hadoop to handle large data, the first problem is how to start and what product to choose. You have a variety of options to install a version of Hadoop and achieve large data processing ...

Large data commercial revolution large data is layered, including large data 1.0, 2.0 and 3.0, here are introduced separately. Large Data 1.0 If you use a key word for large data 1.0, that is analysis, deeper, better analysis technology. As a matter of fact, members of the Hequan have just said a lot of examples and I would add some more. More interesting is the large medical data, which is more of a "quantification of the Ego", it is through a hands-off approach, some so-called medical sensors to our side, such as we wear a wrist watch, a ...

With the upsurge of large data, there are flood-like information in almost every field, and it is far from satisfying to do data processing in the face of thousands of users ' browsing records and recording behavior data. But if only some of the operational software to analyze, but not how to use logical data analysis, it is also a simple data processing. Rather than being able to go deep into the core of the planning strategy. Of course, basic skills is the most important link, want to become data scientists, for these procedures you should have some understanding: ...