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A pivot table is a table of ... Excel 2000 introduced "Pivot Charts" to represent pivot-table data graphically; In 2007 Oracle Corporation ... but to any XML for ...
The usual interface to manipulate an OLAP cube is a matrix interface, like Pivot tables in a spreadsheet program, which performs projection operations along the dimensions, such as aggregation or averaging. The cube metadata is typically created from a star schema or snowflake schema or fact constellation of tables in a relational database.
XML for Analysis OLE DB for OLAP MDX Stored procedures Custom functions SQL LINQ [19] Visualization JSON REST API; Apache Doris No No No No Yes [20] Yes No Superset, Redash, Metabase, Tableau, Qlik, Pivot, PowerBI Yes Yes Apache Druid: No No No No Yes Druid SQL No Superset, Pivot, Redash Yes Yes Apache Kylin: Yes No Yes No Yes Yes
The standardised XML for Analysis protocol can query Essbase data sources using the MDX language. In 2007, Oracle Corporation began bundling Hyperion BI tools into Oracle Business Intelligence Enterprise Edition Plus.
Oracle BI Publisher (formerly known as Oracle XML Publisher) is an enterprise reporting tool designed by Oracle. It was originally developed to solve the reporting problems faced by Oracle applications. The tool was first released with Oracle E-Business Suite 11.5.10 in 2003.
The first comprehensive business intelligence systems were developed by IBM and Siebel (currently acquired by Oracle) in the period between 1970 and 1990. [1] [2] At the same time, small developer teams were emerging with attractive ideas, and pushing out some of the products companies still use nowadays.
JavaFX is a software platform for creating and delivering desktop applications, as well as rich web applications that can run across a wide variety of devices. JavaFX has support for desktop computers and web browsers [citation needed] on Microsoft Windows, Linux (including Raspberry Pi), and macOS, as well as mobile devices running iOS and Android, through Gluon Mobile.
An entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations where runtime usage patterns are arbitrary, subject to user variation, or otherwise unforeseeable using a fixed design.