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This template places one or more location marks on a map. Template parameters Parameter Description Type Status Map name 1 The name of the map to be used String required Map width width Determines the width of the map in pixels, overriding any default values. Do not include "px", for example: "300", not "300px". Number optional Default width default_width Determines the default width of the ...
A data hub for discovering Power BI datasets within an organization's Power BI Service so that datasets may be reused from one central location. It offers details on the things as well as an access point for working with them, such as building reports on top of them, utilizing them with Excel's Analyze feature, accessing settings, controlling ...
Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation.
The term "location intelligence" is often used to describe the people, data and technology employed to geographically "map" information. These mapping applications like Polaris Intelligence can transform large amounts of data linked to location (e.g. POIs, demographics, geofences) into color-coded visual representations (heat maps and thematic maps of variables of interest) that make it easy ...
It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Kafka). Pinot is designed to scale horizontally. Mondrian OLAP server is an open-source OLAP server written in Java. It supports the MDX query language, the XML for Analysis and the olap4j interface specifications.
The dimension is a data set composed of individual, non-overlapping data elements. The primary functions of dimensions are threefold: to provide filtering, grouping and labelling. These functions are often described as "slice and dice". A common data warehouse example involves sales as the measure, with customer and product as dimensions.
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