nach der Bestellung gedruckt Neuware - Printed after ordering - SQL Server 2019 (15.x) builds on previous releases to grow SQL Server as a platform that gives you choices of development languages, data types, on-premises or cloud environments, and operating systems.SQL Server 2019 (15.x) introduces Big Data Clusters for SQL Server. It also provides additional capability and improvements for the SQL Server database engine, SQL Server Analysis Services, SQL Server Machine Learning Services, SQL Server on Linux, and SQL Server Master Data Services.Businesses today often preside over vast data estates consisting of a wide array of ever-growing data sets that are hosted in siloed data sources across the company. Gain near real-time insights from all your data with SQL Server 2019 Big Data Clusters, which provide a complete environment for working with large sets of data, including machine learning and AI capabilities.

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Bibliographic Details

Title: Programming using PLC & SQL Interlink with Visual Studio
Publisher: LAP LAMBERT Academic Publishing
Publication Date: 2021
Language: English
ISBN 10: 6204206869
ISBN 13: 9786204206868
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 4 millimeters depth
Weight: 113 grams

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SQL Server 2019 (15.x) builds on previous releases to grow SQL Server as a platform that gives you choices of development languages, data types, on-premises or cloud environments, and operating systems.SQL Server 2019 (15.x) introduces Big Data Clusters for SQL Server. It also provides additional capability and improvements for the SQL Server database engine, SQL Server Analysis Services, SQL Server Machine Learning Services, SQL Server on Linux, and SQL Server Master Data Services.Businesses today often preside over vast data estates consisting of a wide array of ever-growing data sets that are hosted in siloed data sources across the company. Gain near real-time insights from all your data with SQL Server 2019 Big Data Clusters, which provide a complete environment for working with large sets of data, including machine learning and AI capabilities.

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