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Windows SQL Server 2017 Standard
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Your order is protected for free up to €2,500 in case of non-delivery or non-return. ... learn more
Your order is protected for free up to €2,500 in case of non-delivery or non-return. ... learn more
SQL Server 2017 (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 2017 (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.
SQL Server 2017 features:
- 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 2017 (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 2017 (15.x) supports R and Python.
SQL Server 2017 Standard edition delivers basic data management and business intelligence database for departments and small organizations to run their applications and supports common development tools for on-premises and cloud, enabling effective database management with minimal IT resources.
- Platform
- Windows
- Processor
- Minimum: x64 Processor: 1.4 GHz Recommended: 2.0 GHz or faster / x64 Processor: AMD Opteron, AMD Athlon 64, Intel Xeon with Intel EM64T support, Intel Pentium IV with EM64T support
- Hard disk
- Minimum: 6 GB
- RAM
- Minimum: 1 GB Recommended: At least 4 GB and should be increased as database size increases to ensure optimal performance.
- Operating system
- Windows 10 TH1 1507 or greater. Windows Server 2016 or greater.
- Network adapter requirements
- Supported operating systems for SQL Server have built-in network software. Named and default instances of a stand-alone installation support the following network protocols: Shared memory, Named Pipes, and TCP/IP.
- Other requirements
- Minimum operating systems include minimum .NET framework. / SQL Server requires Super-VGA (800x600) or higher resolution monitor.
#448157901329
99 Items
030520189983
228-11135
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