Azure Data Explorer

Azure Data Explorer is a fully-managed[1] big data analytics cloud platform[2][3] and data-exploration service[4], developed by Microsoft[5][6], that ingests structured, semi-structured (like JSON) and unstructured data (like free-text)[7][8][9][10]. The service then stores this data and answers analytic ad-hoc queries on it with seconds of latency. It is a full text indexing and retrieval database, including time series analysis capabilities[6][7] and regular expression evaluation and text parsing[11].

Azure Data Explorer
Developer(s)Microsoft
Initial release2018 (2018)
PlatformMicrosoft Azure
TypeCloud storage
LicenseProprietary
Websitedocs.microsoft.com/en-us/azure/data-explorer/

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

History

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 analytics. In 2016 it became the backend big-data and analytics service for Application Insights Analytics [13] The product was announced as a Public Preview product at the Microsoft Ignite 2018 conference[14] , and was announced as a general availability product at the Microsoft Ignite conference of February 2019[15].

Features

Azure Data Explorer offers an optimized query language and visualizing options[16] of its data with a SQL-like language called KQL (Kusto Query Language.[17][18][19])[7][8]. KQL is used for querying only and unlike SQL, KQL can not update or delete data[20].

Azure Data Explorer can ingest 200 MB per second per node[14]. Data Ingestion methods are pipelines and connectors to common services like Azure Event Grid or Azure Event Hub[21], or programmatic ingestion using SDKs.

Data visualization can be achieved with tools like PowerBI[22][23] or Grafana[24][25].

Design

Azure Data Explorer is a distributed database running on a cluster of compute nodes in Microsoft Azure. It is based on relational database management systems (RDBMS), supporting entities such as databases, tables, functions, and columns. It supports complex analytics query operators, such as calculated columns, searching and filtering or rows, group by-aggregates and joins.[26]

The engine service exposes a relational data model: At the top level (cluster) there is a collection of databases, each database contains a collection of tables and stored functions. Each table defines a schema (ordered list of typed fields).

In Azure Data Explorer, unlike a typical relational database management systems (RDBMS), there are no constraints like key uniqueness, primary and foreign key[27]. The necessary relationships are established at the query time.[28] The data in Azure Data Explorer generally follows this pattern[29]: Creating Database, Ingesting data, Query the database.


gollark: No, the supercomputer's programmer was.
gollark: And what idiot made it *explode* if it ran into a problem it couldn't solve easily?
gollark: Surely language parsing is not *as* complex as massively hard maths problems.
gollark: 3.7 hard.
gollark: Latin grammar isn't *that* horrible. It just has somewhat more flexible word order than, say, English, and also a lot of random suffixes and stuff.

References
  1. Serra, James (2019-03-14). "Azure Data Explorer". James Serra's Blog. Retrieved 2020-04-09.
  2. "Microsoft Rolls Out Azure Data Lake Storage, Azure Data Explorer". eWEEK. Retrieved 2020-04-10.
  3. Mogenis, Max. "What is Azure Data Explorer?". blog.pragmaticworks.com. Retrieved 2020-03-21.
  4. "Creating An Azure Data Explorer Cluster And Database In Azure". www.c-sharpcorner.com. Retrieved 2020-04-09.
  5. Mackie, By Kurt; 09/20/2019. "Updated Tools for Office 365 and Microsoft Azure Arriving Soon -- Redmondmag.com". Redmondmag. Retrieved 2020-04-10.CS1 maint: numeric names: authors list (link)
  6. "Microsoft Azure Data Explorer vs. Microsoft Azure SQL Database Comparison". db-engines.com. Retrieved 2020-04-09.
  7. Mahajan, Gauri (2020-02-27). "Azure Data Explorer for beginners". SQL Shack - articles about database auditing, server performance, data recovery, and more. Retrieved 2020-04-09.
  8. orspod. "What is Azure Data Explorer?". docs.microsoft.com. Retrieved 2019-12-06.
  9. Mahajan, Gauri (2020-02-27). "Azure Data Explorer for beginners". SQL Shack - articles about database auditing, server performance, data recovery, and more. Retrieved 2020-03-21.
  10. Lai, Alex (2019-01-14). "What is Azure Data Explorer and Kusto Querying Language (KQL)?". Adatis. Retrieved 2020-04-10.
  11. "Azure Data Explorer - Digital Marketplace". www.digitalmarketplace.service.gov.uk. Retrieved 2020-03-21.
  12. "Microsoft R&D". www.microsoftrnd.co.il. Retrieved 2019-12-06.
  13. orspod. "Introducing Application Insights Analytics". devblogs.microsoft.com. Retrieved 2019-12-06.
  14. "Introducing Azure Data Explorer". azure.microsoft.com. Retrieved 2019-12-06.
  15. "General Availability: Azure Data Explorer | Azure updates | Microsoft Azure". azure.microsoft.com. Retrieved 2019-12-06.
  16. Brust, Andrew. "Fastly, Microsoft partner on real-time analytics with Azure Data Explorer". ZDNet. Retrieved 2020-04-09.
  17. Mackie, By Kurt; 07/18/2019. "Microsoft Previews Prometheus Data in Azure Monitor for Containers -- Redmondmag.com". Redmondmag. Retrieved 2020-04-09.CS1 maint: numeric names: authors list (link)
  18. "Getting Started with the Kusto Query Language (KQL) – System.Blog.Martens.Ben". blogs.msdn.microsoft.com. Retrieved 2019-12-06.
  19. "Exploring Data in Microsoft Azure Using Kusto Query Language and Azure Data Explorer". www.pluralsight.com. Retrieved 2020-03-21.
  20. Lai, Alex (2019-01-14). "What is Azure Data Explorer and Kusto Querying Language (KQL)?". Adatis. Retrieved 2020-04-10.
  21. "Architecting Data and Analytics Pipelines in Azure". Gartner. Retrieved 2020-04-10.
  22. "Architecting Data and Analytics Pipelines in Azure". Gartner. Retrieved 2020-04-10.
  23. Mahajan, Gauri (2020-02-27). "Azure Data Explorer for beginners". SQL Shack - articles about database auditing, server performance, data recovery, and more. Retrieved 2020-04-10.
  24. "Grafana vs Azure Dashboards - Which One to Use & When?". CloudIQ Tech. 2018-12-10. Retrieved 2020-04-10.
  25. "Azure Data Explorer Datasource plugin for Grafana". Grafana Labs. Retrieved 2020-04-10.
  26. orspod. "Getting started with Kusto - Azure Data Explorer". docs.microsoft.com. Retrieved 2019-12-06.
  27. "GraphDB vs. Microsoft Azure Data Explorer Comparison". db-engines.com. Retrieved 2020-04-10.
  28. "Azure Data Explorer: a big data analytics cloud platform" (PDF).
  29. Serra, James (2019-03-14). "Azure Data Explorer". James Serra's Blog. Retrieved 2020-03-21.
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