Bi 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 ...

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 ...

2012 has just passed, a variety of style this year really a fire. The relative, enterprise IT application on the stage, "cloud sister" also by virtue of its crazy dance conquered the vast number of users, the pressure "bird uncle" influence. Recently, it seems that every software provider has an eager ambition for cloud computing. However, in the old saying that "alone is better than one", "cloud sister" will not necessarily be the one-man show on this stage. Driven by her, the stage lit a big data spotlight, BI (Business Inte ...

As we all know, business intelligence bi is to extract the effective information from the system data, discover the valuable knowledge in time from the vast information, provide the powerful service for the thinking decision and strategy development of the enterprise decision-making, and minimize the risk and hidden danger of "relying on experience and patting the head" in the management decision. In order to fully improve the enterprise market rapid response and competitiveness of software solutions. Now accompanied by the wave of enterprise information Development, the organization of the process of solidification, improvement, knowledge accumulation, application, technology innovation, promotion, as a business intelligence management system software BI is also constantly seeking change in the promotion ...

Attracted by the advantages of new technologies, many business intelligence (BI) executives are starting to consider deploying the latest tools in the hope of efficient integration and management of decentralized data. For BI executives, the temptation to navigate the data ocean makes them willing to take risks, despite the enormous pressure challenges. However, analysts warn that relying on the latest BI tools and emphasizing high-speed processing of data can lead to the wrong direction, because too much attention to data collection and consolidation will make the value of data being overlooked. Bi executives now need to deploy rationally and stop sticking to technical fast ...

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 ...

Intermediary transaction SEO diagnosis Taobao Cloud host technology lobby Internet Data Center (IDC) analyst Sue Feldman said: "A survey shows that a complete corporate search has repeatedly become the most priority in the minds of the subjects." "Over the past two years, companies have become even more important when they find that their decision-making system has been ignoring the content level," she said. "Most of the data you need is hidden------but where is it? They are hidden in data that is not organized ...

At present, cloud computing is unusually hot, the implementation of enterprise IT system began to gradually fall into effect, the landing of cloud computing is imminent. 　　It is easy to see, in the process of promoting the development of cloud computing in small and medium-sized enterprises, the proliferation of business data has brought many unpredictable changes to the enterprise market, and the emergence of business intelligence has dissolved the hidden trouble in business decision-making judgment, thus, business intelligence has become the core of enterprise insight. Bi set off industry big data changes with the development of new technologies, business opportunities for small and medium-sized enterprises to highlight, when large data to temporary, enterprises need to think ...

TJX The firm's robust earnings for the quarter in the context of the rapid economic slowdown, indicating that the company is developing 8084.html ">". TJX has T.J Maxx and marshalls discount chains. The total sales in 2011 was 23.2 billion yuan, with a 6% rise last year. But when it comes to business intelligence (BI) and data analysis, Jon Geggatt, vice president of the information Architecture and Business Intelligence department, says the retailer still has a long way to go. Jon in ...

Wayne Eckerson is a senior data specialist with over 15 years of industry experience in the fields of data warehousing, business Intelligence (BI) and performance management. At the turn of 2012 and 2013, he forecasts the direction of the BI market for the New Year and provides six key phrases for the broad DBA's reference. Hadoop changes the Data warehouse. Internet companies that want to try Hadoop and cloud computing need to migrate all their data, including master data, into Hadoop and turn those relational databases into data marts. This ...