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OLAP

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Exempel på hur man kan använda OLAP i en mening

  • OLAP consists of three basic analytical operations: consolidation (roll-up), drill-down, and slicing and dicing.
  • OLAP cube, an extension to a spreadsheet's two-dimensional array optimized for multidimensional analysis.
  • The motivation behind OLAP displays harks back to the cross-tabbed report paradigm of 1980s DBMS, and to earlier contingency tables from 1904.
  • Feeding cubes – star schemas are used by all OLAP systems to build proprietary OLAP cubes efficiently; in fact, most major OLAP systems provide a ROLAP mode of operation which can use a star schema directly as a source without building a proprietary cube structure.
  • Online analytical processing (OLAP), (which includes HOLAP, ROLAP and MOLAP) - are a capability of some management, decision support, and executive information systems that support interactive examination of large amounts of data from many perspectives.
  • It claims to store data in columnar fashion in main memory and supports both online analytical processing (OLAP) and online transactional processing (OLTP) in the same system.
  • The MultiDimensional eXpressions (MDX) language provides a specialized syntax for querying and manipulating the multidimensional data stored in OLAP cubes.
  • OLAP Services supported MOLAP, ROLAP, and HOLAP architectures, and it used OLE DB for OLAP as the client access API and MDX as a query language.
  • Thus, EISs hibernated until the 1990s when the information age quickened pace and data warehousing, and online analytical processing (OLAP) allowed dashboards to function adequately.
  • It is based on the Microsoft Visual Studio development environment, but customized with the SQL Server services-specific extensions and project types, including tools, controls and projects for reports, ETL dataflows, OLAP cubes and data mining structure.
  • Panopticon's technology relies on in-memory OLAP cubes, which are displayed through a series of visualizations including treemapping.
  • These provide data integration, OLAP services, reporting, information dashboards, data mining and extract, transform, load (ETL) capabilities.
  • The output objects of a successful run of CubePort are: A relational Star schema and/or relational Snowflake schema, OLAP cube, Etl load packages, MDX (Multidimensional Expressions) files, and others.
  • With read IOPS of 1,100,000 and write IOPS of 600,000, FlashSystem 900 is targeted for OLTP and OLAP databases.
  • The software provides direct access to the following data sources:SAP R/3SAP Business Information Warehouse (BW)SAP BW BAPISAP BW-IPSAP HANASAP Query - Data ExtractorOracle DBMSOracle EssbaseOracle OLAP ServerOracle EnterpriseOracle Financial Management (formerly Hyperion Financial Management)IBM DB2 & Cubing ServicesIBM Cognos TM1Infor (PM OLAP Server, former MIS ALEA)Kognitio (Virtual Cubes/Pablo)Longview 7Microsoft (MS SQL Server - Analysis Services)MIK (MIK OLAP)Paris Technologies (PowerOLAP)Simba Technologies (MDX Provider for Oracle OLAP)Software AG (Adabas)Teradata (Teradata RDBMS, Teradata OLAP Connector)ODBC-, OLE DB-, XMLA-, XML- or every Web service/SOA with open API.
  • Pinot supports pluggable indexing technologies - Sorted Index, Bitmap Index, Inverted Index, Star-Tree Index, and Range Index, which are what primarily differentiates Pinot from other OLAP datastores.


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