Azure Data Explorer - Revision history

WikiCleanerBot: v2.05b - Bot T18 CW#553 - Fix errors for CW project ( tags)

2025-03-11T00:55:19Z

v2.05b - Bot T18 CW#553 - Fix errors for CW project (<nowiki> tags)

← Previous revision		Revision as of 00:55, 11 March 2025
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	==History==		==History==
	The development of the product began in 2014 as a grassroots incubation project in the [[Israel\|Israeli]]~~<nowiki/>~~ [[Research and development\|R&D]] center of Microsoft,<ref>{{Cite web\|url=https://www.microsoftrnd.co.il/whatwedo#BigData\|title=Microsoft R&D\|website=www.microsoftrnd.co.il\|access-date=2019-12-06}}</ref> with the internal code name 'Kusto'<ref name="auto1"/><ref name=":1" /> (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 analytics.		The development of the product began in 2014 as a grassroots incubation project in the [[Israel\|Israeli]] [[Research and development\|R&D]] center of Microsoft,<ref>{{Cite web\|url=https://www.microsoftrnd.co.il/whatwedo#BigData\|title=Microsoft R&D\|website=www.microsoftrnd.co.il\|access-date=2019-12-06}}</ref> with the internal code name 'Kusto'<ref name="auto1"/><ref name=":1" /> (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 analytics.

	In 2016 it became the backend big-data and analytics service for Application Insights Analytics.<ref>{{Cite web\|url=https://devblogs.microsoft.com/bharry/introducing-application-analytics/\|title=Introducing Application Insights Analytics\|last=orspod\|website=devblogs.microsoft.com\|language=en-us\|access-date=2019-12-06}}</ref>		In 2016 it became the backend big-data and analytics service for Application Insights Analytics.<ref>{{Cite web\|url=https://devblogs.microsoft.com/bharry/introducing-application-analytics/\|title=Introducing Application Insights Analytics\|last=orspod\|website=devblogs.microsoft.com\|language=en-us\|access-date=2019-12-06}}</ref>

Tlyero at 19:42, 25 February 2025

2025-02-25T19:42:22Z

← Previous revision		Revision as of 19:42, 25 February 2025
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	==History==		==History==
	The development of the product began in 2014 as a grassroots incubation project in the [[Israel]]<nowiki/>i [[Research and development\|R&D]] center of Microsoft,<ref>{{Cite web\|url=https://www.microsoftrnd.co.il/whatwedo#BigData\|title=Microsoft R&D\|website=www.microsoftrnd.co.il\|access-date=2019-12-06}}</ref> with the internal code name 'Kusto'<ref name="auto1"/><ref name=":1" /> (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 analytics.		The development of the product began in 2014 as a grassroots incubation project in the [[Israel\|Israeli]]<nowiki/> [[Research and development\|R&D]] center of Microsoft,<ref>{{Cite web\|url=https://www.microsoftrnd.co.il/whatwedo#BigData\|title=Microsoft R&D\|website=www.microsoftrnd.co.il\|access-date=2019-12-06}}</ref> with the internal code name 'Kusto'<ref name="auto1"/><ref name=":1" /> (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 analytics.

	In 2016 it became the backend big-data and analytics service for Application Insights Analytics.<ref>{{Cite web\|url=https://devblogs.microsoft.com/bharry/introducing-application-analytics/\|title=Introducing Application Insights Analytics\|last=orspod\|website=devblogs.microsoft.com\|language=en-us\|access-date=2019-12-06}}</ref>		In 2016 it became the backend big-data and analytics service for Application Insights Analytics.<ref>{{Cite web\|url=https://devblogs.microsoft.com/bharry/introducing-application-analytics/\|title=Introducing Application Insights Analytics\|last=orspod\|website=devblogs.microsoft.com\|language=en-us\|access-date=2019-12-06}}</ref>

I dream of horses: Reverted edits by 2A02:587:DA49:9D00:C1E0:4F6D:8877:FCCE (talk): using improper humor in articles (WP:NPOV, WP:V) (HG) (3.4.12)

2024-09-21T20:35:02Z

Reverted edits by 2A02:587:DA49:9D00:C1E0:4F6D:8877:FCCE (talk): using improper humor in articles (WP:NPOV, WP:V) (HG) (3.4.12)

← Previous revision		Revision as of 20:35, 21 September 2024
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	== Features ==		== Features ==
	Azure Data Explorer offers an optimized [[query language]] and visualizing options<ref>{{Cite web\|url=https://www.zdnet.com/article/fastly-microsoft-partner-on-real-time-analytics-with-azure-data-explorer/\|title=Fastly, Microsoft partner on real-time analytics with Azure Data Explorer\|last=Brust\|first=Andrew\|website=ZDNet\|language=en\|access-date=2020-04-09}}</ref> of its data with a [[SQL]]-like language called [[Kusto Query Language\|KQL]] (Kusto Query Language<ref name=":2">{{Cite web\|url=https://redmondmag.com/articles/2019/07/18/prometheus-preview-in-azure-monitor-for-containers.aspx\|title=Microsoft Previews Prometheus Data in Azure Monitor for Containers -- Redmondmag.com\|last=Mackie\|first=Kurt\|date=2019-07-18\|website=Redmondmag\|language=en-US\|access-date=2020-04-09}}</ref><ref>{{Cite web\|url=https://blogs.msdn.microsoft.com/ben/2018/10/11/getting-started-with-the-kusto-query-language/\|title=Getting Started with the Kusto Query Language (KQL) – System.Blog.Martens.Ben\|website=blogs.msdn.microsoft.com\|access-date=2019-12-06}}</ref><ref>{{Cite web\|url=https://www.pluralsight.com/courses/microsoft-azure-data-exploring\|title=Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer\|website=www.pluralsight.com\|language=en\|access-date=2020-03-21}}</ref>) ~~which was discovered by Mr.Bobos~~ .<ref name=":1" /><ref name="auto"/>		Azure Data Explorer offers an optimized [[query language]] and visualizing options<ref>{{Cite web\|url=https://www.zdnet.com/article/fastly-microsoft-partner-on-real-time-analytics-with-azure-data-explorer/\|title=Fastly, Microsoft partner on real-time analytics with Azure Data Explorer\|last=Brust\|first=Andrew\|website=ZDNet\|language=en\|access-date=2020-04-09}}</ref> of its data with a [[SQL]]-like language called [[Kusto Query Language\|KQL]] (Kusto Query Language<ref name=":2">{{Cite web\|url=https://redmondmag.com/articles/2019/07/18/prometheus-preview-in-azure-monitor-for-containers.aspx\|title=Microsoft Previews Prometheus Data in Azure Monitor for Containers -- Redmondmag.com\|last=Mackie\|first=Kurt\|date=2019-07-18\|website=Redmondmag\|language=en-US\|access-date=2020-04-09}}</ref><ref>{{Cite web\|url=https://blogs.msdn.microsoft.com/ben/2018/10/11/getting-started-with-the-kusto-query-language/\|title=Getting Started with the Kusto Query Language (KQL) – System.Blog.Martens.Ben\|website=blogs.msdn.microsoft.com\|access-date=2019-12-06}}</ref><ref>{{Cite web\|url=https://www.pluralsight.com/courses/microsoft-azure-data-exploring\|title=Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer\|website=www.pluralsight.com\|language=en\|access-date=2020-03-21}}</ref>).<ref name=":1" /><ref name="auto"/>

	Azure Data Explorer can ingest 200 MB per second per node.<ref name="auto3"/> Data Ingestion methods are pipelines and connectors to common services like Azure Event Grid or Azure Event Hub,<ref name="gartner.com">{{Cite web\|url=https://www.gartner.com/en/documents/3939788/architecting-data-and-analytics-pipelines-in-azure\|title=Architecting Data and Analytics Pipelines in Azure\|website=Gartner\|language=en\|access-date=2020-04-10}}</ref> or programmatic ingestion using [[Software development kit\|SDKs]].		Azure Data Explorer can ingest 200 MB per second per node.<ref name="auto3"/> Data Ingestion methods are pipelines and connectors to common services like Azure Event Grid or Azure Event Hub,<ref name="gartner.com">{{Cite web\|url=https://www.gartner.com/en/documents/3939788/architecting-data-and-analytics-pipelines-in-azure\|title=Architecting Data and Analytics Pipelines in Azure\|website=Gartner\|language=en\|access-date=2020-04-10}}</ref> or programmatic ingestion using [[Software development kit\|SDKs]].

2A02:587:DA49:9D00:C1E0:4F6D:8877:FCCE: /* Features */

2024-09-21T20:31:03Z

Features

← Previous revision		Revision as of 20:31, 21 September 2024
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	== Features ==		== Features ==
	Azure Data Explorer offers an optimized [[query language]] and visualizing options<ref>{{Cite web\|url=https://www.zdnet.com/article/fastly-microsoft-partner-on-real-time-analytics-with-azure-data-explorer/\|title=Fastly, Microsoft partner on real-time analytics with Azure Data Explorer\|last=Brust\|first=Andrew\|website=ZDNet\|language=en\|access-date=2020-04-09}}</ref> of its data with a [[SQL]]-like language called [[Kusto Query Language\|KQL]] (Kusto Query Language<ref name=":2">{{Cite web\|url=https://redmondmag.com/articles/2019/07/18/prometheus-preview-in-azure-monitor-for-containers.aspx\|title=Microsoft Previews Prometheus Data in Azure Monitor for Containers -- Redmondmag.com\|last=Mackie\|first=Kurt\|date=2019-07-18\|website=Redmondmag\|language=en-US\|access-date=2020-04-09}}</ref><ref>{{Cite web\|url=https://blogs.msdn.microsoft.com/ben/2018/10/11/getting-started-with-the-kusto-query-language/\|title=Getting Started with the Kusto Query Language (KQL) – System.Blog.Martens.Ben\|website=blogs.msdn.microsoft.com\|access-date=2019-12-06}}</ref><ref>{{Cite web\|url=https://www.pluralsight.com/courses/microsoft-azure-data-exploring\|title=Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer\|website=www.pluralsight.com\|language=en\|access-date=2020-03-21}}</ref>).<ref name=":1" /><ref name="auto"/>		Azure Data Explorer offers an optimized [[query language]] and visualizing options<ref>{{Cite web\|url=https://www.zdnet.com/article/fastly-microsoft-partner-on-real-time-analytics-with-azure-data-explorer/\|title=Fastly, Microsoft partner on real-time analytics with Azure Data Explorer\|last=Brust\|first=Andrew\|website=ZDNet\|language=en\|access-date=2020-04-09}}</ref> of its data with a [[SQL]]-like language called [[Kusto Query Language\|KQL]] (Kusto Query Language<ref name=":2">{{Cite web\|url=https://redmondmag.com/articles/2019/07/18/prometheus-preview-in-azure-monitor-for-containers.aspx\|title=Microsoft Previews Prometheus Data in Azure Monitor for Containers -- Redmondmag.com\|last=Mackie\|first=Kurt\|date=2019-07-18\|website=Redmondmag\|language=en-US\|access-date=2020-04-09}}</ref><ref>{{Cite web\|url=https://blogs.msdn.microsoft.com/ben/2018/10/11/getting-started-with-the-kusto-query-language/\|title=Getting Started with the Kusto Query Language (KQL) – System.Blog.Martens.Ben\|website=blogs.msdn.microsoft.com\|access-date=2019-12-06}}</ref><ref>{{Cite web\|url=https://www.pluralsight.com/courses/microsoft-azure-data-exploring\|title=Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer\|website=www.pluralsight.com\|language=en\|access-date=2020-03-21}}</ref>) which was discovered by Mr.Bobos .<ref name=":1" /><ref name="auto"/>

	Azure Data Explorer can ingest 200 MB per second per node.<ref name="auto3"/> Data Ingestion methods are pipelines and connectors to common services like Azure Event Grid or Azure Event Hub,<ref name="gartner.com">{{Cite web\|url=https://www.gartner.com/en/documents/3939788/architecting-data-and-analytics-pipelines-in-azure\|title=Architecting Data and Analytics Pipelines in Azure\|website=Gartner\|language=en\|access-date=2020-04-10}}</ref> or programmatic ingestion using [[Software development kit\|SDKs]].		Azure Data Explorer can ingest 200 MB per second per node.<ref name="auto3"/> Data Ingestion methods are pipelines and connectors to common services like Azure Event Grid or Azure Event Hub,<ref name="gartner.com">{{Cite web\|url=https://www.gartner.com/en/documents/3939788/architecting-data-and-analytics-pipelines-in-azure\|title=Architecting Data and Analytics Pipelines in Azure\|website=Gartner\|language=en\|access-date=2020-04-10}}</ref> or programmatic ingestion using [[Software development kit\|SDKs]].

Mauls: WP:CAPS

2024-07-16T12:56:19Z

WP:CAPS

← Previous revision		Revision as of 12:56, 16 July 2024
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	\| website = {{URL\|https://docs.microsoft.com/en-us/azure/data-explorer/}}		\| website = {{URL\|https://docs.microsoft.com/en-us/azure/data-explorer/}}
	}}		}}
	'''Azure Data Explorer''' is a fully-managed<ref>{{Cite web\|url=https://www.jamesserra.com/archive/2019/03/azure-data-explorer/\|title=Azure Data Explorer\|last=Serra\|first=James\|date=2019-03-14\|website=James Serra's Blog\|language=en-US\|access-date=2020-04-09}}</ref> [[big data]] analytics [[Cloud computing\|cloud]] platform<ref>{{Cite web\|url=https://www.eweek.com/cloud/microsoft-rolls-out-azure-data-lake-storage-azure-data-explorer\|title=Microsoft Rolls Out Azure Data Lake Storage, Azure Data Explorer\|website=eWEEK\|access-date=2020-04-10}}</ref><ref>{{Cite web\|url=https://blog.pragmaticworks.com/what-is-azure-data-explorer\|title=What is Azure Data Explorer?\|last=Mogenis\|first=Max\|website=blog.pragmaticworks.com\|language=en-us\|access-date=2020-03-21}}</ref> and [[Data exploration\|data-exploration]] service,<ref>{{Cite web\|url=https://www.c-sharpcorner.com/article/creating-an-azure-data-explorer-cluster-and-database-in-azure/\|title=Creating An Azure Data Explorer Cluster And Database In Azure\|website=www.c-sharpcorner.com\|access-date=2020-04-09}}</ref> developed by [[Microsoft]],<ref>{{Cite web\|url=https://redmondmag.com/articles/2019/09/20/updated-tools-office-365-microsoft-azure.aspx\|title=Updated Tools for Office 365 and Microsoft Azure Arriving Soon -- Redmondmag.com\|last=Mackie\|first=Kurt\|date=2019-09-20\|website=Redmondmag\|language=en-US\|access-date=2020-04-10}}</ref><ref name="auto2">{{Cite web\|url=https://db-engines.com/en/system/Microsoft+Azure+Data+Explorer%3BMicrosoft+Azure+SQL+Database\|title=Microsoft Azure Data Explorer vs. Microsoft Azure SQL Database Comparison\|website=db-engines.com\|access-date=2020-04-09}}</ref> that ingests [[Structured data\|structured]], [[Semi-structured data\|semi-structured]] (like [[JSON]]) and [[unstructured data]] (like free-text).<ref name=":1">{{Cite web\|url=https://www.sqlshack.com/azure-data-explorer-for-beginners/\|title=Azure Data Explorer for beginners\|last=Mahajan\|first=Gauri\|date=2020-02-27\|website=SQL Shack - articles about database auditing, server performance, data recovery, and more\|language=en-US\|access-date=2020-04-09}}</ref><ref name="auto">{{Cite web\|url=https://docs.microsoft.com/en-us/azure/data-explorer/data-explorer-overview\|title=What is Azure Data Explorer \|website=docs.microsoft.com\|language=en-us\|access-date=2019-12-06}}</ref><ref name="auto1">{{Cite web\|url=https://www.sqlshack.com/azure-data-explorer-for-beginners/\|title=Azure Data Explorer for beginners\|last=Mahajan\|first=Gauri\|date=2020-02-27\|website=SQL Shack - articles about database auditing, server performance, data recovery, and more\|language=en-US\|access-date=2020-03-21}}</ref><ref>{{Cite web\|url=https://adatis.co.uk/what-is-azure-data-explorer-and-kusto-querying-language-kql/\|title=What is Azure Data Explorer and Kusto Querying Language (KQL)?\|last=Lai\|first=Alex\|date=2019-01-14\|website=Adatis\|language=en-GB\|access-date=2020-04-10}}</ref> The service then stores this data and answers analytic ad hoc queries on it with seconds of latency. It is a [[~~Full~~-text search\|full text indexing]] and retrieval database, including [[time series]] analysis capabilities<ref name="auto2"/><ref name=":1"/> and [[regular expression]] evaluation and text parsing.<ref>{{Cite web\|url=https://www.digitalmarketplace.service.gov.uk/g-cloud/services/517576167550270\|title=Azure Data Explorer - Digital Marketplace\|website=www.digitalmarketplace.service.gov.uk\|language=en\|access-date=2020-03-21}}</ref>		'''Azure Data Explorer''' is a fully-managed<ref>{{Cite web\|url=https://www.jamesserra.com/archive/2019/03/azure-data-explorer/\|title=Azure Data Explorer\|last=Serra\|first=James\|date=2019-03-14\|website=James Serra's Blog\|language=en-US\|access-date=2020-04-09}}</ref> [[big data]] analytics [[Cloud computing\|cloud]] platform<ref>{{Cite web\|url=https://www.eweek.com/cloud/microsoft-rolls-out-azure-data-lake-storage-azure-data-explorer\|title=Microsoft Rolls Out Azure Data Lake Storage, Azure Data Explorer\|website=eWEEK\|access-date=2020-04-10}}</ref><ref>{{Cite web\|url=https://blog.pragmaticworks.com/what-is-azure-data-explorer\|title=What is Azure Data Explorer?\|last=Mogenis\|first=Max\|website=blog.pragmaticworks.com\|language=en-us\|access-date=2020-03-21}}</ref> and [[Data exploration\|data-exploration]] service,<ref>{{Cite web\|url=https://www.c-sharpcorner.com/article/creating-an-azure-data-explorer-cluster-and-database-in-azure/\|title=Creating An Azure Data Explorer Cluster And Database In Azure\|website=www.c-sharpcorner.com\|access-date=2020-04-09}}</ref> developed by [[Microsoft]],<ref>{{Cite web\|url=https://redmondmag.com/articles/2019/09/20/updated-tools-office-365-microsoft-azure.aspx\|title=Updated Tools for Office 365 and Microsoft Azure Arriving Soon -- Redmondmag.com\|last=Mackie\|first=Kurt\|date=2019-09-20\|website=Redmondmag\|language=en-US\|access-date=2020-04-10}}</ref><ref name="auto2">{{Cite web\|url=https://db-engines.com/en/system/Microsoft+Azure+Data+Explorer%3BMicrosoft+Azure+SQL+Database\|title=Microsoft Azure Data Explorer vs. Microsoft Azure SQL Database Comparison\|website=db-engines.com\|access-date=2020-04-09}}</ref> that ingests [[Structured data\|structured]], [[Semi-structured data\|semi-structured]] (like [[JSON]]) and [[unstructured data]] (like free-text).<ref name=":1">{{Cite web\|url=https://www.sqlshack.com/azure-data-explorer-for-beginners/\|title=Azure Data Explorer for beginners\|last=Mahajan\|first=Gauri\|date=2020-02-27\|website=SQL Shack - articles about database auditing, server performance, data recovery, and more\|language=en-US\|access-date=2020-04-09}}</ref><ref name="auto">{{Cite web\|url=https://docs.microsoft.com/en-us/azure/data-explorer/data-explorer-overview\|title=What is Azure Data Explorer \|website=docs.microsoft.com\|language=en-us\|access-date=2019-12-06}}</ref><ref name="auto1">{{Cite web\|url=https://www.sqlshack.com/azure-data-explorer-for-beginners/\|title=Azure Data Explorer for beginners\|last=Mahajan\|first=Gauri\|date=2020-02-27\|website=SQL Shack - articles about database auditing, server performance, data recovery, and more\|language=en-US\|access-date=2020-03-21}}</ref><ref>{{Cite web\|url=https://adatis.co.uk/what-is-azure-data-explorer-and-kusto-querying-language-kql/\|title=What is Azure Data Explorer and Kusto Querying Language (KQL)?\|last=Lai\|first=Alex\|date=2019-01-14\|website=Adatis\|language=en-GB\|access-date=2020-04-10}}</ref> The service then stores this data and answers analytic ad hoc queries on it with seconds of latency. It is a [[full-text search\|full-text indexing]] and retrieval database, including [[time series]] analysis capabilities<ref name="auto2"/><ref name=":1"/> and [[regular expression]] evaluation and text parsing.<ref>{{Cite web\|url=https://www.digitalmarketplace.service.gov.uk/g-cloud/services/517576167550270\|title=Azure Data Explorer - Digital Marketplace\|website=www.digitalmarketplace.service.gov.uk\|language=en\|access-date=2020-03-21}}</ref>

	It is offered as [[platform as a service]] (PaaS) as part of [[Microsoft Azure]] platform. The product was announced by Microsoft in 2018.		It is offered as [[platform as a service]] (PaaS) as part of [[Microsoft Azure]] platform. The product was announced by Microsoft in 2018.

	==History==		==History==
	The development of the product began in 2014 as a grassroots incubation project in the [[Israel]]<nowiki/>i [[Research and development\|R&D]] center of Microsoft,<ref>{{Cite web\|url=https://www.microsoftrnd.co.il/whatwedo#BigData\|title=Microsoft R&D\|website=www.microsoftrnd.co.il\|access-date=2019-12-06}}</ref> with the internal code name 'Kusto<ref name="auto1"/><ref name=":1" />' (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 analytics.		The development of the product began in 2014 as a grassroots incubation project in the [[Israel]]<nowiki/>i [[Research and development\|R&D]] center of Microsoft,<ref>{{Cite web\|url=https://www.microsoftrnd.co.il/whatwedo#BigData\|title=Microsoft R&D\|website=www.microsoftrnd.co.il\|access-date=2019-12-06}}</ref> with the internal code name 'Kusto'<ref name="auto1"/><ref name=":1" /> (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 analytics.

	In 2016 it became the backend big-data and analytics service for Application Insights Analytics.<ref>{{Cite web\|url=https://devblogs.microsoft.com/bharry/introducing-application-analytics/\|title=Introducing Application Insights Analytics\|last=orspod\|website=devblogs.microsoft.com\|language=en-us\|access-date=2019-12-06}}</ref>		In 2016 it became the backend big-data and analytics service for Application Insights Analytics.<ref>{{Cite web\|url=https://devblogs.microsoft.com/bharry/introducing-application-analytics/\|title=Introducing Application Insights Analytics\|last=orspod\|website=devblogs.microsoft.com\|language=en-us\|access-date=2019-12-06}}</ref>

Mauls: [{WP:CAPS

2024-07-16T12:55:49Z

[{WP:CAPS

← Previous revision		Revision as of 12:55, 16 July 2024
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	'''Azure Data Explorer''' is a fully-managed<ref>{{Cite web\|url=https://www.jamesserra.com/archive/2019/03/azure-data-explorer/\|title=Azure Data Explorer\|last=Serra\|first=James\|date=2019-03-14\|website=James Serra's Blog\|language=en-US\|access-date=2020-04-09}}</ref> [[big data]] analytics [[Cloud computing\|cloud]] platform<ref>{{Cite web\|url=https://www.eweek.com/cloud/microsoft-rolls-out-azure-data-lake-storage-azure-data-explorer\|title=Microsoft Rolls Out Azure Data Lake Storage, Azure Data Explorer\|website=eWEEK\|access-date=2020-04-10}}</ref><ref>{{Cite web\|url=https://blog.pragmaticworks.com/what-is-azure-data-explorer\|title=What is Azure Data Explorer?\|last=Mogenis\|first=Max\|website=blog.pragmaticworks.com\|language=en-us\|access-date=2020-03-21}}</ref> and [[Data exploration\|data-exploration]] service,<ref>{{Cite web\|url=https://www.c-sharpcorner.com/article/creating-an-azure-data-explorer-cluster-and-database-in-azure/\|title=Creating An Azure Data Explorer Cluster And Database In Azure\|website=www.c-sharpcorner.com\|access-date=2020-04-09}}</ref> developed by [[Microsoft]],<ref>{{Cite web\|url=https://redmondmag.com/articles/2019/09/20/updated-tools-office-365-microsoft-azure.aspx\|title=Updated Tools for Office 365 and Microsoft Azure Arriving Soon -- Redmondmag.com\|last=Mackie\|first=Kurt\|date=2019-09-20\|website=Redmondmag\|language=en-US\|access-date=2020-04-10}}</ref><ref name="auto2">{{Cite web\|url=https://db-engines.com/en/system/Microsoft+Azure+Data+Explorer%3BMicrosoft+Azure+SQL+Database\|title=Microsoft Azure Data Explorer vs. Microsoft Azure SQL Database Comparison\|website=db-engines.com\|access-date=2020-04-09}}</ref> that ingests [[Structured data\|structured]], [[Semi-structured data\|semi-structured]] (like [[JSON]]) and [[unstructured data]] (like free-text).<ref name=":1">{{Cite web\|url=https://www.sqlshack.com/azure-data-explorer-for-beginners/\|title=Azure Data Explorer for beginners\|last=Mahajan\|first=Gauri\|date=2020-02-27\|website=SQL Shack - articles about database auditing, server performance, data recovery, and more\|language=en-US\|access-date=2020-04-09}}</ref><ref name="auto">{{Cite web\|url=https://docs.microsoft.com/en-us/azure/data-explorer/data-explorer-overview\|title=What is Azure Data Explorer \|website=docs.microsoft.com\|language=en-us\|access-date=2019-12-06}}</ref><ref name="auto1">{{Cite web\|url=https://www.sqlshack.com/azure-data-explorer-for-beginners/\|title=Azure Data Explorer for beginners\|last=Mahajan\|first=Gauri\|date=2020-02-27\|website=SQL Shack - articles about database auditing, server performance, data recovery, and more\|language=en-US\|access-date=2020-03-21}}</ref><ref>{{Cite web\|url=https://adatis.co.uk/what-is-azure-data-explorer-and-kusto-querying-language-kql/\|title=What is Azure Data Explorer and Kusto Querying Language (KQL)?\|last=Lai\|first=Alex\|date=2019-01-14\|website=Adatis\|language=en-GB\|access-date=2020-04-10}}</ref> The service then stores this data and answers analytic ad hoc queries on it with seconds of latency. It is a [[Full-text search\|full text indexing]] and retrieval database, including [[time series]] analysis capabilities<ref name="auto2"/><ref name=":1"/> and [[regular expression]] evaluation and text parsing.<ref>{{Cite web\|url=https://www.digitalmarketplace.service.gov.uk/g-cloud/services/517576167550270\|title=Azure Data Explorer - Digital Marketplace\|website=www.digitalmarketplace.service.gov.uk\|language=en\|access-date=2020-03-21}}</ref>		'''Azure Data Explorer''' is a fully-managed<ref>{{Cite web\|url=https://www.jamesserra.com/archive/2019/03/azure-data-explorer/\|title=Azure Data Explorer\|last=Serra\|first=James\|date=2019-03-14\|website=James Serra's Blog\|language=en-US\|access-date=2020-04-09}}</ref> [[big data]] analytics [[Cloud computing\|cloud]] platform<ref>{{Cite web\|url=https://www.eweek.com/cloud/microsoft-rolls-out-azure-data-lake-storage-azure-data-explorer\|title=Microsoft Rolls Out Azure Data Lake Storage, Azure Data Explorer\|website=eWEEK\|access-date=2020-04-10}}</ref><ref>{{Cite web\|url=https://blog.pragmaticworks.com/what-is-azure-data-explorer\|title=What is Azure Data Explorer?\|last=Mogenis\|first=Max\|website=blog.pragmaticworks.com\|language=en-us\|access-date=2020-03-21}}</ref> and [[Data exploration\|data-exploration]] service,<ref>{{Cite web\|url=https://www.c-sharpcorner.com/article/creating-an-azure-data-explorer-cluster-and-database-in-azure/\|title=Creating An Azure Data Explorer Cluster And Database In Azure\|website=www.c-sharpcorner.com\|access-date=2020-04-09}}</ref> developed by [[Microsoft]],<ref>{{Cite web\|url=https://redmondmag.com/articles/2019/09/20/updated-tools-office-365-microsoft-azure.aspx\|title=Updated Tools for Office 365 and Microsoft Azure Arriving Soon -- Redmondmag.com\|last=Mackie\|first=Kurt\|date=2019-09-20\|website=Redmondmag\|language=en-US\|access-date=2020-04-10}}</ref><ref name="auto2">{{Cite web\|url=https://db-engines.com/en/system/Microsoft+Azure+Data+Explorer%3BMicrosoft+Azure+SQL+Database\|title=Microsoft Azure Data Explorer vs. Microsoft Azure SQL Database Comparison\|website=db-engines.com\|access-date=2020-04-09}}</ref> that ingests [[Structured data\|structured]], [[Semi-structured data\|semi-structured]] (like [[JSON]]) and [[unstructured data]] (like free-text).<ref name=":1">{{Cite web\|url=https://www.sqlshack.com/azure-data-explorer-for-beginners/\|title=Azure Data Explorer for beginners\|last=Mahajan\|first=Gauri\|date=2020-02-27\|website=SQL Shack - articles about database auditing, server performance, data recovery, and more\|language=en-US\|access-date=2020-04-09}}</ref><ref name="auto">{{Cite web\|url=https://docs.microsoft.com/en-us/azure/data-explorer/data-explorer-overview\|title=What is Azure Data Explorer \|website=docs.microsoft.com\|language=en-us\|access-date=2019-12-06}}</ref><ref name="auto1">{{Cite web\|url=https://www.sqlshack.com/azure-data-explorer-for-beginners/\|title=Azure Data Explorer for beginners\|last=Mahajan\|first=Gauri\|date=2020-02-27\|website=SQL Shack - articles about database auditing, server performance, data recovery, and more\|language=en-US\|access-date=2020-03-21}}</ref><ref>{{Cite web\|url=https://adatis.co.uk/what-is-azure-data-explorer-and-kusto-querying-language-kql/\|title=What is Azure Data Explorer and Kusto Querying Language (KQL)?\|last=Lai\|first=Alex\|date=2019-01-14\|website=Adatis\|language=en-GB\|access-date=2020-04-10}}</ref> The service then stores this data and answers analytic ad hoc queries on it with seconds of latency. It is a [[Full-text search\|full text indexing]] and retrieval database, including [[time series]] analysis capabilities<ref name="auto2"/><ref name=":1"/> and [[regular expression]] evaluation and text parsing.<ref>{{Cite web\|url=https://www.digitalmarketplace.service.gov.uk/g-cloud/services/517576167550270\|title=Azure Data Explorer - Digital Marketplace\|website=www.digitalmarketplace.service.gov.uk\|language=en\|access-date=2020-03-21}}</ref>

	It is offered as [[~~Platform~~ as a service~~\|Platform as a Service~~]] (PaaS) as part of [[Microsoft Azure]] platform. The product was announced by Microsoft in 2018.		It is offered as [[platform as a service]] (PaaS) as part of [[Microsoft Azure]] platform. The product was announced by Microsoft in 2018.

	==History==		==History==

Neutronstar2: /* Features */

2023-12-01T12:03:59Z

Features

← Previous revision		Revision as of 12:03, 1 December 2023
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	== Features ==		== Features ==
	Azure Data Explorer offers an optimized [[query language]] and visualizing options<ref>{{Cite web\|url=https://www.zdnet.com/article/fastly-microsoft-partner-on-real-time-analytics-with-azure-data-explorer/\|title=Fastly, Microsoft partner on real-time analytics with Azure Data Explorer\|last=Brust\|first=Andrew\|website=ZDNet\|language=en\|access-date=2020-04-09}}</ref> of its data with a [[SQL]]-like language called [[Kusto Query Language\|KQL]] (Kusto Query Language.<ref name=":2">{{Cite web\|url=https://redmondmag.com/articles/2019/07/18/prometheus-preview-in-azure-monitor-for-containers.aspx\|title=Microsoft Previews Prometheus Data in Azure Monitor for Containers -- Redmondmag.com\|last=Mackie\|first=Kurt\|date=2019-07-18\|website=Redmondmag\|language=en-US\|access-date=2020-04-09}}</ref><ref>{{Cite web\|url=https://blogs.msdn.microsoft.com/ben/2018/10/11/getting-started-with-the-kusto-query-language/\|title=Getting Started with the Kusto Query Language (KQL) – System.Blog.Martens.Ben\|website=blogs.msdn.microsoft.com\|access-date=2019-12-06}}</ref><ref>{{Cite web\|url=https://www.pluralsight.com/courses/microsoft-azure-data-exploring\|title=Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer\|website=www.pluralsight.com\|language=en\|access-date=2020-03-21}}</ref>).<ref name=":1" /><ref name="auto"/>		Azure Data Explorer offers an optimized [[query language]] and visualizing options<ref>{{Cite web\|url=https://www.zdnet.com/article/fastly-microsoft-partner-on-real-time-analytics-with-azure-data-explorer/\|title=Fastly, Microsoft partner on real-time analytics with Azure Data Explorer\|last=Brust\|first=Andrew\|website=ZDNet\|language=en\|access-date=2020-04-09}}</ref> of its data with a [[SQL]]-like language called [[Kusto Query Language\|KQL]] (Kusto Query Language<ref name=":2">{{Cite web\|url=https://redmondmag.com/articles/2019/07/18/prometheus-preview-in-azure-monitor-for-containers.aspx\|title=Microsoft Previews Prometheus Data in Azure Monitor for Containers -- Redmondmag.com\|last=Mackie\|first=Kurt\|date=2019-07-18\|website=Redmondmag\|language=en-US\|access-date=2020-04-09}}</ref><ref>{{Cite web\|url=https://blogs.msdn.microsoft.com/ben/2018/10/11/getting-started-with-the-kusto-query-language/\|title=Getting Started with the Kusto Query Language (KQL) – System.Blog.Martens.Ben\|website=blogs.msdn.microsoft.com\|access-date=2019-12-06}}</ref><ref>{{Cite web\|url=https://www.pluralsight.com/courses/microsoft-azure-data-exploring\|title=Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer\|website=www.pluralsight.com\|language=en\|access-date=2020-03-21}}</ref>).<ref name=":1" /><ref name="auto"/>

	Azure Data Explorer can ingest 200 MB per second per node.<ref name="auto3"/> Data Ingestion methods are pipelines and connectors to common services like Azure Event Grid or Azure Event Hub,<ref name="gartner.com">{{Cite web\|url=https://www.gartner.com/en/documents/3939788/architecting-data-and-analytics-pipelines-in-azure\|title=Architecting Data and Analytics Pipelines in Azure\|website=Gartner\|language=en\|access-date=2020-04-10}}</ref> or programmatic ingestion using [[Software development kit\|SDKs]].		Azure Data Explorer can ingest 200 MB per second per node.<ref name="auto3"/> Data Ingestion methods are pipelines and connectors to common services like Azure Event Grid or Azure Event Hub,<ref name="gartner.com">{{Cite web\|url=https://www.gartner.com/en/documents/3939788/architecting-data-and-analytics-pipelines-in-azure\|title=Architecting Data and Analytics Pipelines in Azure\|website=Gartner\|language=en\|access-date=2020-04-10}}</ref> or programmatic ingestion using [[Software development kit\|SDKs]].

	Data visualization can be achieved using their [https://dataexplorer.azure.com/dashboards native dashboard offering], or with tools like [[Power BI~~\|PowerBI~~]]<ref name="gartner.com"/><ref>{{Cite web\|url=https://www.sqlshack.com/azure-data-explorer-for-beginners/\|title=Azure Data Explorer for beginners\|last=Mahajan\|first=Gauri\|date=2020-02-27\|website=SQL Shack - articles about database auditing, server performance, data recovery, and more\|language=en-US\|access-date=2020-04-10}}</ref> or [[Grafana]].<ref>{{Cite web\|url=https://cloudiqtech.com/grafana-vs-azure-dashboards/\|title=Grafana vs Azure Dashboards - Which One to Use & When?\|date=2018-12-10\|website=CloudIQ Tech\|language=en-US\|access-date=2020-04-10}}</ref><ref>{{Cite web\|url=https://grafana.com/grafana/plugins/grafana-azure-data-explorer-datasource\|title=Azure Data Explorer Datasource plugin for Grafana\|website=Grafana Labs\|language=en-US\|access-date=2020-04-10}}</ref>		Data visualization can be achieved using their [https://dataexplorer.azure.com/dashboards native dashboard offering], or with tools like [[Power BI]]<ref name="gartner.com"/><ref>{{Cite web\|url=https://www.sqlshack.com/azure-data-explorer-for-beginners/\|title=Azure Data Explorer for beginners\|last=Mahajan\|first=Gauri\|date=2020-02-27\|website=SQL Shack - articles about database auditing, server performance, data recovery, and more\|language=en-US\|access-date=2020-04-10}}</ref> or [[Grafana]].<ref>{{Cite web\|url=https://cloudiqtech.com/grafana-vs-azure-dashboards/\|title=Grafana vs Azure Dashboards - Which One to Use & When?\|date=2018-12-10\|website=CloudIQ Tech\|language=en-US\|access-date=2020-04-10}}</ref><ref>{{Cite web\|url=https://grafana.com/grafana/plugins/grafana-azure-data-explorer-datasource\|title=Azure Data Explorer Datasource plugin for Grafana\|website=Grafana Labs\|language=en-US\|access-date=2020-04-10}}</ref>

	== Design ==		== Design ==

DB1729: removed Category:Lists of database management software using HotCat, not a list

2023-07-26T15:37:36Z

removed Category:Lists of database management software using HotCat, not a list

← Previous revision		Revision as of 15:37, 26 July 2023
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	[[Category:Database management systems]]		[[Category:Database management systems]]
	[[Category:Lists of database management software]]

Squam Lizard: Changing short description from "Cloud Analytics Software from Microsoft" to "Cloud-based data analytics service"

2022-10-09T13:28:48Z

Changing short description from "Cloud Analytics Software from Microsoft" to "Cloud-based data analytics service"

← Previous revision		Revision as of 13:28, 9 October 2022
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	{{Short description\|Cloud ~~Analytics~~ ~~Software~~ ~~from Microsoft~~}}		{{Short description\|Cloud-based data analytics service}}
	{{Third-party\|date=April 2020}}		{{Third-party\|date=April 2020}}
	{{Infobox software		{{Infobox software

2001:4898:E008:1:E747:EAB1:5A7F:9257: /* Features */

2022-07-21T20:52:44Z

Features

← Previous revision		Revision as of 20:52, 21 July 2022
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	== Features ==		== Features ==
	Azure Data Explorer offers an optimized [[query language]] and visualizing options<ref>{{Cite web\|url=https://www.zdnet.com/article/fastly-microsoft-partner-on-real-time-analytics-with-azure-data-explorer/\|title=Fastly, Microsoft partner on real-time analytics with Azure Data Explorer\|last=Brust\|first=Andrew\|website=ZDNet\|language=en\|access-date=2020-04-09}}</ref> of its data with a [[SQL]]-like language called [[Kusto Query Language\|KQL]] (Kusto Query Language.<ref name=":2">{{Cite web\|url=https://redmondmag.com/articles/2019/07/18/prometheus-preview-in-azure-monitor-for-containers.aspx\|title=Microsoft Previews Prometheus Data in Azure Monitor for Containers -- Redmondmag.com\|last=Mackie\|first=Kurt\|date=2019-07-18\|website=Redmondmag\|language=en-US\|access-date=2020-04-09}}</ref><ref>{{Cite web\|url=https://blogs.msdn.microsoft.com/ben/2018/10/11/getting-started-with-the-kusto-query-language/\|title=Getting Started with the Kusto Query Language (KQL) – System.Blog.Martens.Ben\|website=blogs.msdn.microsoft.com\|access-date=2019-12-06}}</ref><ref>{{Cite web\|url=https://www.pluralsight.com/courses/microsoft-azure-data-exploring\|title=Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer\|website=www.pluralsight.com\|language=en\|access-date=2020-03-21}}</ref>).<ref name=":1" /><ref name="auto"/> KQL is used for querying only and unlike SQL, KQL can not update or delete data.<ref>{{Cite web\|url=https://adatis.co.uk/what-is-azure-data-explorer-and-kusto-querying-language-kql/\|title=What is Azure Data Explorer and Kusto Querying Language (KQL)?\|last=Lai\|first=Alex\|date=2019-01-14\|website=Adatis\|language=en-GB\|access-date=2020-04-10}}</ref>		Azure Data Explorer offers an optimized [[query language]] and visualizing options<ref>{{Cite web\|url=https://www.zdnet.com/article/fastly-microsoft-partner-on-real-time-analytics-with-azure-data-explorer/\|title=Fastly, Microsoft partner on real-time analytics with Azure Data Explorer\|last=Brust\|first=Andrew\|website=ZDNet\|language=en\|access-date=2020-04-09}}</ref> of its data with a [[SQL]]-like language called [[Kusto Query Language\|KQL]] (Kusto Query Language.<ref name=":2">{{Cite web\|url=https://redmondmag.com/articles/2019/07/18/prometheus-preview-in-azure-monitor-for-containers.aspx\|title=Microsoft Previews Prometheus Data in Azure Monitor for Containers -- Redmondmag.com\|last=Mackie\|first=Kurt\|date=2019-07-18\|website=Redmondmag\|language=en-US\|access-date=2020-04-09}}</ref><ref>{{Cite web\|url=https://blogs.msdn.microsoft.com/ben/2018/10/11/getting-started-with-the-kusto-query-language/\|title=Getting Started with the Kusto Query Language (KQL) – System.Blog.Martens.Ben\|website=blogs.msdn.microsoft.com\|access-date=2019-12-06}}</ref><ref>{{Cite web\|url=https://www.pluralsight.com/courses/microsoft-azure-data-exploring\|title=Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer\|website=www.pluralsight.com\|language=en\|access-date=2020-03-21}}</ref>).<ref name=":1" /><ref name="auto"/>

	Azure Data Explorer can ingest 200 MB per second per node.<ref name="auto3"/> Data Ingestion methods are pipelines and connectors to common services like Azure Event Grid or Azure Event Hub,<ref name="gartner.com">{{Cite web\|url=https://www.gartner.com/en/documents/3939788/architecting-data-and-analytics-pipelines-in-azure\|title=Architecting Data and Analytics Pipelines in Azure\|website=Gartner\|language=en\|access-date=2020-04-10}}</ref> or programmatic ingestion using [[Software development kit\|SDKs]].		Azure Data Explorer can ingest 200 MB per second per node.<ref name="auto3"/> Data Ingestion methods are pipelines and connectors to common services like Azure Event Grid or Azure Event Hub,<ref name="gartner.com">{{Cite web\|url=https://www.gartner.com/en/documents/3939788/architecting-data-and-analytics-pipelines-in-azure\|title=Architecting Data and Analytics Pipelines in Azure\|website=Gartner\|language=en\|access-date=2020-04-10}}</ref> or programmatic ingestion using [[Software development kit\|SDKs]].