SQL Server 2017机器学习服务中R和Python的基本和高级集成有什么区别 [英] What are the differences between Basic and Advanced integrations of R and Python in SQL Server 2017 Machine Learning Services

问题描述

大家好，

我想了解Basic和Adv之间的区别。 SQL Server ML服务上R和Python的集成。  

I would like to learn the differences between Basic and Adv. Integrations of R and Python on SQL Server ML Services.  

下面的链接仅指内核数量，数据集大小和内存数据集的限制。 

The link below only refers to limitation on the number of cores, dataset sizes and in-memory datasets. 

是否有任何其他参考/文档/ URL以详细方式引用差异？我们正在尝试决定是否应该使用标准版或企业版。  

Is there any other reference/document/URL citing differences in a detailed manner? We are trying to decide whether we should go for Standard Edition or Enterprise Edition.  

https：// docs。 microsoft.com/tr-tr/sql/sql-server/editions-and-components-of-sql-server-2017?view=sql-server-2017

https://docs.microsoft.com/tr-tr/sql/sql-server/editions-and-components-of-sql-server-2017?view=sql-server-2017

- 基本集成仅限于2个内核和内存数据集。 

- 高级集成可以使用所有可用内核来并行处理任何大小的数据集，但受硬件限制。

许可成本是公司的重要考虑因素。如果我们要找到相同的Python和R库，我们希望使用标准版。 如果你能指出我们正确的方向，我感激不尽。

Licensing cost is an important consideration for the firm. If we are going to find same Python and R libraries, we would like to go with the Standard edition.  I appreciate if you can point us to the right direction. 

问候，

Mehmet

推荐答案

Hi Mehmet，

Hi Mehmet,

请与您的Microsoft销售代表或许可证经销商合作获取所有细节。此外，您可能会看一下SQL Server的许可指南。

please work with your Microsoft sales representative or License reseller to get all the details. Also, you might have a look at the licensing guide for SQL server.

谢谢，Jeroen

这篇关于SQL Server 2017机器学习服务中R和Python的基本和高级集成有什么区别的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！