What is in-detetabase processing?

In-collection processing, also known as in-database analysts, is a technology that concentrates fixing database warehouses with analytical systems. Normally, the database warehouse has to export information to the analytical program to start extensive data calculations. When processing in-detetabase, all calculations are made from a single program. This saves time because the time required for export is removed and accelerates the database to bring real -time results. Many suppliers of databases who create database programs for large companies offer it as a function. The database warehouse is the type of database designed for storing and reporting data. These warehouses include a layer for unprocessed data from developers, a layer of data from users and a third layer where users enter data. The database warehouse can usually perform some calculations, but only Small One.

Analytical programs are able to perform these larger calculations, but only if the database compares are exported. For small databases may notMoving the data between these two programs to prevent performance, but large businesses may have to wait hours before the calculations are completed. Moving data can also lead to inaccuracy if the administrator forgets to move a certain part of the database.

In-detetabase processing corrects these potential errors and problems. Instead of moving the data, all processing and calculations are made from the database warehouse itself. The advantages of performance include a large increase in speed, sufficient to give the database to real -time results and almost remove potential inaccuracies. Many large databases such as those used to detect fraud and stock market database use this technology.

One of the main features of in-databazing is predictive analytics. This is when the analytical program takes information about the database and attempts to predict the trend. This is not specific to process in-detetabase but JE A able to quickly make a forecast that allows business to do better than those with slower systems.

This type of technology is usually unnecessary by small businesses, so most suppliers lean this feature to large business database programs. The processing of in-date usually comes standard for these large business solutions because it is very difficult to obtain the results and information from the database without this processing function. These businesses also have more data than they know, and this powerful processing system is needed to browse all data and its use in favor of the company.