![]() ![]() This information can provide a significant edge in an increasingly competitive marketplace. ![]() As a result, they contain a wealth of data that can yield critical information about a business. The success of relational databases is apparent in their use to store information about an increasingly wide scope of activities. Designed for efficient selection, storage, and retrieval of data, relational databases are ideal for housing gigabytes of detailed data. Relational databases provide the online transactional processing (OLTP) that is essential for businesses to keep track of their affairs. Standard reporting applications can present the results of complex multidimensional calculations, while ad-hoc querying tools such as custom aggregate members and custom measures can expand the analyst's range of calculation functions. OLAP calculations can be queried using SQL, enabling application developers to leverage their investment in SQL while expanding the analytic sophistication of their software to include modeling, forecasting, and what-if analysis. SQL-based applications can now use pure SQL against information-rich relational views of multidimensional data provided by an OLAP-enabled Oracle Database. A single application can access both relational and multidimensional data. The DBA can decide the best location for storing and calculating the data as part of optimizing the operations of the database. DBAs use the same tools to administer this option as they use to administer all other components of the database. In contrast, the OLAP option is fully integrated into the Oracle Database. In the future, with newer generations of USB standards and the arrival of USB-C, there will be even better improvements.Full Integration of Multidimensional Technology When it comes to USB 3.1 Gen 1 and Gen 2, the only difference is speed and they're backwards compatible with USB 3.0 and USB 2.0. USB came a long way from when it was first introduced and will continue to advance in the future.
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