Power Bi Change Data Source

The information about the big data is overwhelming and dazzling. Although the information is wonderful, we also see the value behind the big data, but many companies do not know how to do it. In a pragmatic manner, using low cost, high speed capture and real-time analysis of large data to obtain the key information needed for core business and strategic decision, so as to enhance the level of business management and strategic decision, and ultimately create huge commercial value, perhaps the best interpretation of large data value. In the process of analyzing large data, the traditional bi (business intelligence) approach is that IT staff ...

As we all know, predictive analysis has always been the "prerogative" of statisticians and data scientists in the "Ivory Tower", and they are far from day-to-day business decision makers. Big data will change that. As more and more data streams are put online and integrated into existing BI, CRM, ERP, and other critical business systems, predictive analytics will eventually become a focus of attention. Although most customer service representatives and field sales representatives have not yet felt the impact, companies such as IBM and MicroStrategy have begun to move. Big Data: Predictive analysis is no longer the prerogative of statisticians to think ...

Hurricane Irene attacked New York, and Phil Green didn't know what was going to change his vision of technology forever. His greatest concern was a park called Flushing Meadows, the hometown of U.S Open. Tournament-The final grand slam of the four tennis championships each year. But Green is not worried about the gale and about the likely impact of the game. Instead, as media director of the American Tennis Association (USTA), he is concerned with more basic things: electricity. "We have heard of such a thing ' for days without electricity ...

Some time ago, Hurricane Irene suddenly attacked New York, and Phil Green at this time it is not clear what may happen will completely change his vision of technology. His greatest concern is a park called Flushing Meadows, the hometown of US Open. Tournaments - the final Grand Slam of four tennis tournaments each year - is completed. But Green is not worried about the gale and about the possible impact this game. Instead, as Media Director of the US Tennis Association, he cares more about something ...

Now that the change in it is becoming more and more rapid, if the Internet from the beginning to the prevalence of ten years, then the rapid development of mobility only in less than five years of vision. It can be said that there are two major technology trends are changing the entire IT industry, one is mobile internet, the other is large data. Obviously there is a certain connection between the two. The mobility makes the application scene richer, lets the user walk from the office to the outdoors, becomes the enterprise obtains the data the important source. Faced with the surge in data volume, how to better play the effectiveness of it practitioners, especially the enterprise CIOs are facing ...

Open-source software-the promised land of technology enthusiasts-is now in the software world. By 2016, according to Gartner, Open-source software will be among the world's top 2000 corporate mission-critical software portfolios. In fact, according to Black Duck software, the source management provider, so far there are no fewer than 1 million different open-source software projects. 　　Here is a list of 10 reasons why the popularity of open source software has soared. 1. The quality of the brunt based on this year's "Black Duck Open Source Future" survey results ...

We have all heard the following predictions: By 2020, the amount of data stored electronically in the world will reach 35ZB, which is 40 times times the world's reserves in 2009. At the end of 2010, according to IDC, global data volumes have reached 1.2 million PB, or 1.2ZB. If you burn the data on a DVD, you can stack the DVDs from the Earth to the moon and back (about 240,000 miles one way). For those who are apt to worry about the sky, such a large number may be unknown, indicating the coming of the end of the world. To ...

2014 Zhongguancun Large Data day on December 11, 2014 in Zhongguancun, the General Assembly to "aggregate data assets, promote industrial innovation" as the theme, to explore data asset management and transformation, large data depth technology and industry data application innovation and ecological system construction and so on key issues. The Conference also carries on the question of the demand and practice of the departments in charge of the government, the finance, the operators and so on to realize the path of transformation and industry innovation through the management and operation of data assets. In PM operator @big Data Forum ...

Scientific rationality and the mysterious cloak of large data--several important viewpoints on large data the basic structure of large data industry chain (data Source: Shanghai Institute of Science and Technology information) The rise of large data concepts has attracted much controversy. Some call it a "new bottle of Old wine," and others argue that the opportunity for big data is exaggerated. In fact, these are related to not really understanding the nature of large data. The development of any thing has its objective law, the big data is not "the Monkey King that jumps out in the stone", it also has its own "biological parents"--computer science and data science. ...

It has been almost 2 years since the big data was exposed and the customers outside the Internet were talking about big data. It's time to sort out some of the feelings and share some of the puzzles that I've seen in the domestic big data application. Clouds and large data should be the hottest two topics in the IT fry in recent years. In my opinion, the difference between the two is that the cloud is to make a new bottle, to fill the old wine, the big data is to find the right bottle, brew new wine. The cloud is, in the final analysis, a fundamental architectural revolution. The original use of the physical server, in the cloud into a variety of virtual servers in the form of delivery, thus computing, storage, network resources ...