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Azure SQL Database includes built-in intelligence that learns app patterns and adapts them to maximize performance, reliability, and data protection. Key capabilities include: Learning of the host app's data access patterns, adaptive performance tuning, and automatic improvements to reliability and data protection.
ER/Studio: Embarcadero (acquired by IDERA) SMBs and enterprises Proprietary: Access, Snowflake, Microsoft Azure IBM Db2, Informix, Hitachi HiRDB, Firebird, Interbase, MySQL, MS SQL Server, Netezza, Oracle, PostgreSQL, Sybase, Teradata, Visual Foxpro and others via ODBC/ANSI SQL Windows Standalone 1998 Erwin Data Modeler: Logic Works (now Quest)
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 ...
Azure HDInsight [31] is a big data-relevant service that deploys Hortonworks Hadoop on Microsoft Azure and supports the creation of Hadoop clusters using Linux with Ubuntu. Azure Stream Analytics is a Serverless scalable event-processing engine that enables users to develop and run real-time analytics on multiple streams of data from sources ...
Microsoft SQL Server (Structured Query Language) is a proprietary relational database management system developed by Microsoft.As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet).
Microsoft Learn is a library of technical documentation and training for end users, developers, and IT professionals who work with Microsoft products. Microsoft Learn was introduced in September 2018. [1]
Data Explorer is used to manage databases on Microsoft SQL Server instances. It allows creation and alteration of database tables (either by issuing T-SQL commands or by using the Data designer). It can also be used to create queries and stored procedures, with the latter in either T-SQL or in managed code via SQL CLR.
Views can hide the complexity of data. For example, a view could appear as Sales2020 or Sales2021, transparently partitioning the actual underlying table. Views take very little space to store; the database contains only the definition of a view, not a copy of all the data that it presents. Views structure data in a way that classes of users ...