SQL Server 2019

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  • Hãng sản xuất : Microsoft
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Số lượng

SQLSvrStd 2019 SNGL OLP NL - Server + CAL

SQLSvrStdCore 2019 SNGL OLP 2Lic NL CoreLic Qlfd - Core

SQL Server 2019 Server components Description

SQL Server Database Engine

SQL Server Database Engine includes the Database Engine, the core service for storing, processing, and securing data, replication, full-text search, tools for managing relational and XML data, in database analytics integration, and PolyBase integration for access to Hadoop and other heterogeneous data sources, and Machine Learning Services to run Python and R scripts with relational data.

Analysis Services

Analysis Services includes the tools for creating and managing online analytical processing (OLAP) and data mining applications.

Reporting Services

Reporting Services includes server and client components for creating, managing, and deploying tabular, matrix, graphical, and free-form reports. Reporting Services is also an extensible platform that you can use to develop report applications.

Integration Services Integration Services is a set of graphical tools and programmable objects for moving, copying, and transforming data. It also includes the Data Quality Services (DQS) component for Integration Services.

Master Data Services

Master Data Services (MDS) is the SQL Server solution for master data management. MDS can be configured to manage any domain (products, customers, accounts) and includes hierarchies, granular security, transactions, data versioning, and business rules, as well as an Add-in for Excel that can be used to manage data.

Machine Learning Services (In-Database)

Machine Learning Services (In-Database) supports distributed, scalable machine learning solutions using enterprise data sources. In SQL Server 2016, the R language was supported. SQL Server 2019 (15.x) supports R and Python.

Machine Learning Server (Standalone)

Machine Learning Server (Standalone) supports deployment of distributed, scalable machine learning solutions on multiple platforms and using multiple enterprise data sources, including Linux and Hadoop. In SQL Server 2016, the R language was supported. SQL Server 2019 (15.x) supports R and Python.

Source: Microsoft

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