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2. Real-time data - Wikipedia

   en.wikipedia.org/wiki/Real-time_data

   Such data is usually processed using real-time computing although it can also be stored for later or off-line data analysis. Real-time data is not the same as dynamic data. Real-time data can be dynamic (e.g. a variable indicating current location) or static (e.g. a fresh log entry indicating location at a specific time).

3. Azure Data Explorer - Wikipedia

   en.wikipedia.org/wiki/Azure_Data_Explorer

   The development of the product began in 2014 as a grassroots incubation project in the Israeli R&D center of Microsoft, [12] with the internal code name 'Kusto' [9] [7] (named after Jacques Cousteau, as a reference to "exploring the ocean of data"). The project aim was to address Azure services' needs for fast and scalable log and telemetry ...

4. 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 ...

5. Azure Stream Analytics - Wikipedia

   en.wikipedia.org/wiki/Azure_Stream_Analytics

   Additionally, stream analytics supports Azure Blob storage as the input reference data to help augment fast moving event data streams with static data. [2] Stream analytics supports a wide variety of output targets. Support for Power BI allows for real-time dashboarding. [3] Event Hub, Service bus topics and queues help trigger downstream ...

6. Analytics - Wikipedia

   en.wikipedia.org/wiki/Analytics

   Analytics is the systematic computational analysis of data or statistics. [1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [2] Analytics also entails applying data patterns toward effective decision-making.

7. Real-time database - Wikipedia

   en.wikipedia.org/wiki/Real-time_database

   Therefore, another system is needed. Real-time databases may be modified to improve accuracy and efficiency and to avoid conflict, by providing deadlines and wait periods to insure temporal consistency. Real-time database systems offer a way of monitoring a physical system and representing it in data streams to a database. A data stream, like ...

8. Pentagon Fails 7th Audit in a Row but Hopes To Pass by 2028 - AOL

   www.aol.com/news/pentagon-fails-7th-audit-row...

   Congress required all federal agencies to submit annual financial reports in 1990. The Pentagon finally got around to complying in 2018, and it still hasn't passed an audit.

9. Data warehouse - Wikipedia

   en.wikipedia.org/wiki/Data_warehouse

   Data Warehouse and Data mart overview, with Data Marts shown in the top right. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core component of business intelligence. [1] Data warehouses are central repositories of data integrated from ...