Microsoft Windows SQL Server 2019 Standard

Microsoft sql server 2019 - features and functionality SQL Server 2019 (15.x) represents an advancement over its previous versions, expanding the SQL Server platform with a wide range of choices across development languages, data types, on-premises or cloud environments and operating systems. It also introduces Big Data Clusters for SQL Server, offering additional features and enhancements for several components, including SQL Server Database Engine, SQL Server Analysis Services, SQL Server Machine Learning Services, SQL Server on Linux and SQL Server Master Data Services. Key features of Windows sql server 2019 include: SQL Server Database Engine: The Database Engine is the central service for storing, processing and securing data. It includes replication, full-text search, relational and XML data management tools, integration with analytical databases and PolyBase for accessing Hadoop and other heterogeneous data sources, as well as Machine Learning Services for running scripts in Python and R on relational data. Analysis Services: Analysis Services provides tools for creating and managing online analytical processing (OLAP) and data mining applications, supporting advanced analysis. Reporting Services: Reporting Services provides server and client components for developing, managing and distributing reports in various formats, including tabular, matrix, graphical and freeform. It is also an extensible platform that can be used for the development of reporting applications. Integration Services: Integration Services consists of a set of graphical tools and programmable objects for transferring, copying and transforming data. It also includes Data Quality Services (DQS) to improve data integrity. Master Data Services: Master Data Services (MDS) is SQL Server's solution for master data management, supporting various domains such as products, customers and accounts. It offers hierarchy management, granular security, transactions, data versioning and business rules, with an add-in for Excel for simplified data management. In-database Machine Learning Services: In-database Machine Learning Services allows distributed and scalable machine learning solutions to be implemented, leveraging corporate data. It supports R and Python, extending the capabilities introduced in SQL Server 2016. Machine Learning Server (Standalone): Machine Learning Server (standalone) facilitates the deployment of scalable machine learning solutions on different platforms, including Linux and Hadoop, supporting the R and Python languages as was already the case in SQL Server 2016. The SQL Server 2019 Standard edition provides basic data management and business intelligence database for departments and small organisations to run applications and supports common development tools for local and cloud environments, enabling effective database management with minimal IT resources. Comparison with other Windows Server versions: SQL Server Standard 2019 unlike other Windows Server... ...