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2. Aggregate data - Wikipedia

   en.wikipedia.org/wiki/Aggregate_data

   For example, governments around the world use of aggregate mobile location data for analysis in response to Covid-19. Aggregate mobile location data could provide insights about the effectiveness of social distancing measures launched by governments. Governments also use aggregate data to identify possible “hot spots” and the potential for ...

3. Essbase - Wikipedia

   en.wikipedia.org/wiki/Essbase

   Although block storage effectively minimizes storage requirements without impacting retrieval time, it has limitations in its treatment of aggregate data in large applications, motivating the introduction of a second storage engine, named Aggregate Storage Option (Essbase ASO) or more recently, Enterprise Analytics.

4. Data aggregation - Wikipedia

   en.wikipedia.org/wiki/Data_aggregation

   Aggregators who agree with information providers to extract data without using an OFX standard may reach a lower level of consensual relationship; therefore, "screen scraping" may be used to obtain account data, but for business or other reasons, the aggregator may decide to obtain prior consent and negotiate the terms on which customer data is ...

5. Aggregate (data warehouse) - Wikipedia

   en.wikipedia.org/wiki/Aggregate_(data_warehouse)

   An aggregate is a type of summary used in dimensional models of data warehouses to shorten the time it takes to provide answers to typical queries on large sets of data. The reason why aggregates can make such a dramatic increase in the performance of a data warehouse is the reduction of the number of rows to be accessed when responding to a query.

6. Aggregate function - Wikipedia

   en.wikipedia.org/wiki/Aggregate_function

   The listagg function, as defined in the SQL:2016 standard [2] aggregates data from multiple rows into a single concatenated string. In the entity relationship diagram, aggregation is represented as seen in Figure 1 with a rectangle around the relationship and its entities to indicate that it is being treated as an aggregate entity. [3]

7. Data Analysis Expressions - Wikipedia

   en.wikipedia.org/wiki/Data_Analysis_eXpressions

   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 .

8. Data analysis - Wikipedia

   en.wikipedia.org/wiki/Data_analysis

   The data is necessary as inputs to the analysis, which is specified based upon the requirements of those directing the analytics (or customers, who will use the finished product of the analysis). [ 14 ] [ 15 ] The general type of entity upon which the data will be collected is referred to as an experimental unit (e.g., a person or population of ...

9. Online analytical processing - Wikipedia

   en.wikipedia.org/wiki/Online_analytical_processing

   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.