Data Dictionary Database
Data dictionary, using the database (DATABASE) to describe the database structure and table (TABLE) field (FIELD) the name, alias (ALIAS), content and format of the definition of such information is usually used to generate reports or applications when the reference frame.
Data marshalling data structures
Means the data transmitted to the network infrastructure prior to data collection and converted it into a standard format process so that information can be cross network boundaries. To an object transmitted across the Internet, you must first be converted into, and network transmission packet structure in line with the agreement on the data stream. This process is the information structured.
In the structure, before the data were collected first message fragment buffer body. When the data to be transmitted, the receiver's computer will be structured data back to the object.
Written in a language program from the output of the output program, to pass the program in another language is required for data structured.
Data Mining
Data Mining from the large amounts of data, the Extract valuable information and association process. Exploration through automated mining technology, enterprises can establish an effective model and rules, and thus improve business, sales and customer service strategies.
Data Mining is also a database of technical logical evolution. The first database is used as a substitute for paper records, is a only a description of the data storage and reporting. However, as technology continues to evolve SQL query, the database administrator the flexibility to start the inquiries.
After the birth of Data Mining technology, its main function is to a large database to find out the value of the hidden events. Technology components include deep mathematical logic, statistics and artificial intelligence. When the in-depth analysis of information, knowledge and associated find out later, can be further developed according to the different enterprises, the creation of related models, as a business development decision-making frame of reference.
The financial industry as an example, Data Mining techniques can be used for product selection, analysis, deduction and forecast a huge customer data and thus contribute to identify the most customers, or the marking may be high turnover rate on the population; and even predicted a new product or promotional activities, the potential return on investment, and at the appropriate time, providing appropriate products and services to the fierce commercial competition, improving customer satisfaction.
Data Warehouse
Data Warehouse is a large central database can be obtained from several independent enterprise databases gathered useful information, and integrated into useful information, as a business management decision-making.
Enterprises usually have many databases, including personnel, sales and production, Data Warehouse database to retrieve the specific information, through computer analysis, simulation, comparison and inference, will work the information into easy-to-observation information, so that decision-makers within the enterprise can be seen at a particular point in time, the understanding of the full dimensions of enterprise development, including the single customer view (single customer view).
A similar database management decision-making information otherwise known as the Supermarket (Data Mart) database, its smaller than the Data Warehouse.
Data Warehouse functions, not just store data, but also must be able to integrate information. The logic of its operation by a few separate database, collecting all kinds of external information will be operating in the data integration into useful and strategic information. But after finishing with the Extract of information can provide a complete business decision-makers and a wide range of information to enhance the competitiveness of enterprises at the same time to further understand customer needs. Therefore, Data Warehouse can be said that the core of decision-making support system. |
