Data Analytics Applications

Although businesses used to rely on intuition, they can now use business intelligence and analytics to make factual decisions and answer questions such as how to design product prices, what markets the new service targets, and how to reduce risk. In this series, we will discuss the value of applying cloud computing in business intelligence and analytics. In the first part, we introduce the reason of business intelligence and analysis. In this article, we will discuss the specific value of the intelligent analysis cloud. Information and the development of information technology, as well as information on various ways to change the way we live and work. Business Intelligence and Analysis ...

This paper mainly introduces the ISAS5710 system for Data mart and ODS application, and takes ISAS5710 Medium system as an example, it focuses on how to install and configure the ISAS5710 system, how to design and deploy the database of User data mart and relevant analysis and application, To help you quickly learn the basics of using ISAS5710 Rapid Deployment Data mart applications. With the continuous improvement of user's business system and the increasingly fierce market competition, more and more enterprises are building data Warehouse, Data mart ...

Oracle OpenWorld, the first CEO of Oracle's annual Global conference earlier this year, Ellison the Oracle's commitment to the cloud market and unveiled a variety of new software, hardware and cloud business solutions at the conference. Oracle has been actively exploring cloud business in recent years, and launched the Cloud Analysis portfolio Oracle Analytics Cloud in the General Assembly, which can target cloud data, local data, traditional data and large data ...

Cady Wang (Wang Nanan) you want to know big data, but don't know the jerky terminology? Do you want to know the market and application of large data, but there are no good cases and explanations? 　　Don't worry, this little book from the Wikibon community wants to help you. 　　Yes, this is a small book rather than an article, because it is detailed and meticulous to let you from a completely do not understand the large data technology and related applications of the layman to become a familiar with its concept and meaning of the "inner pedestrian", so it is great! Translator Cady Wang Nanan spent a lot of effort to translate this small book, insufficient ...

A few days ago, the global enterprise application SAP company released the company's Business analysis product research and development, to help organizations of all walks of life to more easily integrate strong business analysis capabilities into the day-to-day work. The capabilities of this research will greatly expand the scope and usability of the business analysis among professionals. The news was released November 15-17th at the SAP China Business and SAP Global Technology Developers Conference in Beijing, China. No need for training to make decisions more succinctly and solve problems SAP stre ...

With the continuous development of the Internet, information more attention to real-time, micro-bo popular, search engines have launched real-time search function, but for the site analysis of real-time data is more meaningful? Actually look at the data to look at the report people often want the data the more real-time the better, they want to master the site every hour or even every 10 minutes of change, able to the current situation of the site at hand, can find problems and quick response. But in fact, if you ask them when they know the real-time changes in the site data, or in a certain period of time the site traffic suddenly surge or play ...

There are many methods for processing and analyzing large data in the new methods of data processing and analysis, but most of them have some common characteristics. 　　That is, they use the advantages of hardware, using extended, parallel processing technology, the use of non-relational data storage to deal with unstructured and semi-structured data, and the use of advanced analysis and data visualization technology for large data to convey insights to end users. 　　Wikibon has identified three large data methods that will change the business analysis and data management markets. Hadoop Hadoop is a massive distribution of processing, storing, and analyzing ...

This time, we share the 13 most commonly used open source tools in the Hadoop ecosystem, including resource scheduling, stream computing, and various business-oriented scenarios. First, we look at resource management.

The vendor of an intelligent analysis cloud must define what services, http://www.aliyun.com/zixun/aggregation/13748.html, > infrastructure and software are needed in the cloud. In some ways, deciding which software and hardware to use depends on what services are available in the cloud. This depends on non-functional requirements, such as available time, response time, or number of users. In this section, we will discuss the factors that must be considered by the supplier and what decisions must be made in order to be as detailed as possible ...

"Data will become a strategic ingredient, and every business, research team and government has a responsibility to collect, process, analyze and index data purposefully." "Zhou, director of the Internet Center of the Institute of Management, called for companies to devote large numbers to big data. But based on extensive research into 1144 business people and IT professionals in 95 countries, 26 industries, IBM has found that most businesses have recognized the potential of "big data" to improve decision-making processes and business outcomes, but they don't know how to start. It is true that ...