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Visual Studio Code was first announced on April 29, 2015, by Microsoft at the 2015 Build conference. A preview build was released shortly thereafter. [13]On November 18, 2015, the project "Visual Studio Code — Open Source" (also known as "Code — OSS"), on which Visual Studio Code is based, was released under the open-source MIT License and made available on GitHub.
XML for Analysis (XMLA) is an industry standard for data access in analytical systems, such as online analytical processing (OLAP) and data mining. XMLA is based on other industry standards such as XML, SOAP and HTTP. XMLA is maintained by XMLA Council with Microsoft, Hyperion and SAS Institute being the XMLA Council founder members.
In computing, online analytical processing, or OLAP (/ ˈ oʊ l æ p /), is an approach to quickly answer multi-dimensional analytical (MDA) queries. [1] The term OLAP was created as a slight modification of the traditional database term online transaction processing (OLTP). [2]
The historical portion of the cubes is also populated from the data warehouse. In this simplified example, the calculations just discussed may be done in the data warehouse for the historical portion of the cubes, but generally, the functional model supports the calculation of other functions, such as ratios and percentages.
An OLAP cube is a multi-dimensional array of data. [1] Online analytical processing (OLAP) [ 2 ] is a computer-based technique of analyzing data to look for insights. The term cube here refers to a multi-dimensional dataset, which is also sometimes called a hypercube if the number of dimensions is greater than three.
The MultiDimensional eXpressions (MDX) language provides a specialized syntax for querying and manipulating the multidimensional data stored in OLAP cubes. [1] While it is possible to translate some of these into traditional SQL, it would frequently require the synthesis of clumsy SQL expressions even for very simple MDX expressions.
OLE DB for OLAP (Object Linking and Embedding Database for Online Analytical Processing abbreviated ODBO) is a Microsoft published specification and an industry standard for multi-dimensional data processing.
Beyond the multidimensional data concept, Palo enables multiple users to share one centralised data storage (single version of the truth). This type of database is suitable to handle complex data models for business management and statistics. Apart from multidimensional queries, data can also be written back and consolidated in real-time.