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In Azure Data Explorer, unlike a typical relational database management systems (RDBMS), there are no constraints like key uniqueness, primary and foreign key. [26] The necessary relationships are established at the query time. [27] The data in Azure Data Explorer generally follows this pattern: [28] Creating Database, Ingesting data, Query the ...
Event processing is a method of tracking and analyzing (processing) streams of information (data) about things that happen (events), [1] and deriving a conclusion from them. Complex event processing ( CEP ) consists of a set of concepts and techniques developed in the early 1990s for processing real-time events and extracting information from ...
Azure offers both the platform via web interface (Platform as a Service) and the hardware via virtual servers allocated to Azure accounts for data storage and processing (Infrastructure as a Service). [5] Azure Search resides within the Microsoft IaaS and PaaS suite as a service, I.E. Search as a Service (SaaS).
Microsoft Azure Stream Analytics is a serverless scalable complex event processing engine by Microsoft that enables users to develop and run real-time analytics on multiple streams of data from sources such as devices, sensors, web sites, social media, and other applications. [1]
Azure Data Lake service was released on November 16, 2016. It is based on COSMOS, [2] which is used to store and process data for applications such as Azure, AdCenter, Bing, MSN, Skype and Windows Live.
Data collection systems are an end-product of software development. Identifying and categorizing software or a software sub-system as having aspects of, or as actually being a "Data collection system" is very important. This categorization allows encyclopedic knowledge to be gathered and applied in the design and implementation of future systems.
Azure SQL Database supports multi-modal storage of structured, semi-structured, and non-relational data. [2] Azure SQL Database includes built-in intelligence that learns app patterns and adapts them to maximize performance, reliability, and data protection. Key capabilities include:
The Fields collection is a set of Field objects, which are the corresponding columns in the table. The Properties collection is a set of Property objects, which defines a particular functionality of an OLE DB provider. The RecordSet has numerous methods and properties for examining the data that exists within it.