Data Warehouses also provide us Online Analytical Processing (OLAP) tools. These tools help us in interactive and effective analysis of data in multidimensional space. This analysis results in data generalization and data mining. The data mining functions like association, clustering, classification, ...
PIVOT and UNPIVOT are very useful operators for on-line analytical processing (OLAP) applications and querying sparse datasets. These operators exchange rows and columns which can be efficiently used for data presentation in data warehouse environment. Materialized view is another important issue for dat...
2. Description of the Related Art Online analytic processing (OLAP) is a popular human-computer interaction paradigm for analyzing data in large-scale data warehouses. Using a data-model of measures and dimensions, OLAP provides multidi... PM Deshpande,JS Thathachar,S Vaithyanathan,... - US...
If the Warehouse Admin really has to access all of that data then the transactions should be provided unless your business decides there is an unacceptable risk with it. If there is an unacceptable risk then the access needs to be mitigated and the data or ability to perform the task needs ...
Provides privileges to perform OLAP API tracing. Contact Oracle Support for more information. OLAP_DBA Provides administrative privileges to create dimensional objects in different schemas for Oracle OLAP. See Also: Oracle OLAP User's Guide for more information OLAP_USER Provides application developers ...
Database/Warehouse developer. This expert is responsible for modeling, developing, and maintaining data storage, be it a common SQL database or a data warehouse DBA or Database Administrator. This person is in charge ofdatabase managementif there are multiple databases or the structure of ...
Figure 1: OLTP and OLAP As the volume and speed at which the data was being generated surged, we had to rely on systems that could enable large-scale and cost-efficient data processing and storage. Apache Hadoop opened up that scope and brought along a gamut of tools to satisfy a variety...
This article sets in context Data Warehouses (DWs) and Online Analytical Processing (OLAP) against the backdrop of databases and Big Data and shows how data warehouses and OLAP were incorporated into the digital archiving specifications work in the E-ARK project. Both theoretical and practical ...
OLAPMeta DataData WarehouseData MiningData MartFlat FilesIn challenging times good decision-making becomes critical. The best decisions are made when allthe relevant data available is taken into consideration. The best possible source for that data is a welldesigneddata warehouse. The concept of ...
Enriching Data Warehouse Dimension Hierarchies by Using Semantic Relations Data warehouse dimension hierarchies are of paramount importance in OLAP (On-Line Analytical Processing) tools to support the decision-making process, since they allow the analysis of data at different levels of detail (i.e. le...