Data Warehousing Data Mining And Olap Alex Berson Pdf

The Business Intelligence Beans are fully integrated with Oracle JDeveloper. The Oracle Business Intelligence Beans simplifies the development of OLAP query applications by providing the functions of the OLAP API as JavaBeans. The Analytic Workspace API also supports XML representation of a logical multidimensional data model, which can be instantiated in the Database as an analytic workspace. The Java interface consists of the OLAP API, which provides Java classes for querying and analyzing OLAP data, and the Analytic Workspace API, which provides Java classes for creating and maintaining analytic workspaces.

The OLAP_TABLE function provides the fundamental mechanism for returning multidimensional data, stored in an analytic workspace, as a logical table. The SQL functions include OLAP_TABLE, OLAP_EXPRESSION, and OLAP_CONDITION. The PL/SQL packages include DBMS_AW, which executes OLAP DML, and DBMS_ODM, which creates materialized views for OLAP applications that use a relational data source. The SQL interface to Oracle OLAP is implemented as PL/SQL packages and SQL functions. Open platforms for more hardware options and enterprise-level platforms. This provides for efficient operations that can scale up to handle very large volumes of data. The backup and recovery technology is highly scalable, and provides tight interfaces to industry-leading media management subsystems. Oracle includes support for incremental backup and recovery using Recovery Manager, enabling operations to be completed efficiently within times proportional to the amount of changes, rather than the overall size of the database. Individual partitions, when placed in their own tablespaces, can be backed up and restored independently of the other partitions of a table. This reduces administrative burden and minimizes the possibility of human errors.Д«ackup and recovery operations are fully integrated with partitioning. Some of the highlights are:Дetails related to backup, restore, and recovery operations are maintained by the server in a recovery catalog and automatically used as part of these operations. Oracle provides a server-managed infrastructure for backup, restore, and recovery tasks that enables simpler, safer operations at terabyte scale. Moreover, any other tool or any database administrator can also retrieve progress information directly from the Oracle data server, using system views. Oracle Enterprise Manager enables you to view a bar-graph display of these operations showing what percent complete they are. Oracle Database 10 g maintains statistics describing the percent-complete of these operations. You can also further specify limits on the total number of active sessions, and the degree of parallelism of individual queries for each department.ДЄnother resource management facility is the progress monitor, which gives end users and administrators the status of long-running operations. Using the Database Resource Manager, you could specify that the marketing department receive at least 60 percent of the CPU resources of the machines, while the sales department receive 40 percent of the CPU resources. Consider an environment where the marketing department and the sales department share an OLAP system. The Database Resource Manager, for example, provides a mechanism for allocating the resources of a data warehouse among different sets of end-users. Oracle enables you to precisely control resource utilization.

Data Warehousing Data Mining And Olap Alex Berson Pdf