Bulk data transfer is software-based mechanism designed to move large data file using compression blocking and buffering methods to optimize transfer times. Every single second of everyday data moves from computer to another. Some move over the local area network other over the wide area network or over the internet. Data can move from storage...
Bi-directional extracts refer to the ability of a system to extract cleanse and transfer data in two directions among different database types which include hierarchical networked and relational databases. This functionality is extremely useful in data warehousing projects. Data warehouse extraction is the process of retrieving all sorts of data...
Data Mining is the process of utilizing the results of data exploration to adjust or enhance business strategies. It builds on the patterns trends and exceptions found through data exploration to support the business. It is also known as data harvesting. Data mining is also a technique using software tools geared for the user who typically does...
Data extract is the output of the data extraction process a very important aspect of data warehouse implementation. A data warehouse gathers data from several sources and utilizes these data to serve as vital information for the company. These data will be used to spot patterns and trends both in the business operations as well as in industry standards....
Dynamic Queries are queries that are executed during run-time.  In general they are constructed dynamically with the help of desktop-resident query tools.  Many if not most of the database management systems require that the end user create and formulate complex queries in the presumption that these end users are very familiar...
Data extraction is the very first part of a popular and very integral part of a data warehousing implementation called the ETL which stands for extract transform load. This set of processes is the mechanism for a data warehouse to consolidate data coming from different database with disparate systems. Each of the disparate database powering data...
A data warehouses has a set of processes which is called ETL standing for extract transform load. The case of a data warehouse implementation involves several databases in different data stores scattered in different nodes with the information system network. These data stores can be of different systems. For instance one data stored may be running...
Data warehouse implementation although basically the similar in that is based on certain data architecture and data models also has several differences brought about the differences in hardware and software platforms which are hosting the databases. In a data warehouse specially the very large ones there are various data sources. Big companies typically...
It would not be hard to imagine how a daunting the task would of wanting to retrieve a data from the vast repository of data inside the data warehouse. The data warehouse is the main repository of all company data including historical data which may include those from several years past and the current transactional data which are being used in the...

 

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