Microsoft SQL Server 2017 Enterprise

Customers will gain trans-formative insights from in-database machine learning with Python and R, plus rich interactive reporting on any device for faster decision making. Developers can choose their language and platform while container support seamlessly facilitates DevOps scenarios.

Brand	Microsoft SQL Server 2017 Enterprise
Product Type	Open License Product
Version	2016
Distribution Media	VLSC Portal Media
System Requirements	Processor: 1.4Ghz 64-bit processor, RAM: 1 GB, Disk Space: 6 GB
Feature 01	Mission critical high availability on Windows and Linux
Feature 02	Enhanced in-memory performance
Feature 03	Faster performance with Adaptive Query Processing
Feature 04	Unparalleled data security
Feature 05	PB scale data warehousing
Feature 06	End-to-end mobile BI with rich visualizations on all major platforms
Feature 07	In-database advanced analytics built-in at scale with R and Python
Feature 08	Enhanced hybrid scenarios including Stretch Database, HA, DR and backup
Feature 09	Software Assurance benefits include unlimited virtualization, Machine Learning Server
Feature 10	Provides a highly simple and intuitive graphical user interface to connect to the DQS server, and perform data cleansing operations. It also allows you to centrally monitor various activities performed during the data cleansing operation.
Feature 11	Database Engine Tuning Advisor helps create optimal sets of indexes, indexed views, and partitions.
Feature 12	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.
Feature 13	Machine Learning Server (Standalone) supports deployment of distributed, scalable machine learning solutions on multiple platforms and using multiple enterprise data sources, including Linux, Hadoop, and Teradata. In SQL Server 2016, the R language was supported. SQL Server 2017 supports R and Python.