Book Image

Mastering SQL Server 2017

By : Miloš Radivojević, Dejan Sarka, William Durkin, Christian Cote, Matija Lah
Book Image

Mastering SQL Server 2017

By: Miloš Radivojević, Dejan Sarka, William Durkin, Christian Cote, Matija Lah

Overview of this book

Microsoft SQL Server 2017 uses the power of R and Python for machine learning and containerization-based deployment on Windows and Linux. By learning how to use the features of SQL Server 2017 effectively, you can build scalable apps and easily perform data integration and transformation. You’ll start by brushing up on the features of SQL Server 2017. This Learning Path will then demonstrate how you can use Query Store, columnstore indexes, and In-Memory OLTP in your apps. You'll also learn to integrate Python code in SQL Server and graph database implementations for development and testing. Next, you'll get up to speed with designing and building SQL Server Integration Services (SSIS) data warehouse packages using SQL server data tools. Toward the concluding chapters, you’ll discover how to develop SSIS packages designed to maintain a data warehouse using the data flow and other control flow tasks. By the end of this Learning Path, you'll be equipped with the skills you need to design efficient, high-performance database applications with confidence. This Learning Path includes content from the following Packt books: SQL Server 2017 Developer's Guide by Miloš Radivojevi?, Dejan Sarka, et. al SQL Server 2017 Integration Services Cookbook by Christian Cote, Dejan Sarka, et. al
Table of Contents (20 chapters)
Title Page
Free Chapter
1
Introduction to SQL Server 2017

SQL Server Stretch Database pricing

You can see price details on the https://azure.microsoft.com/en-us/pricing/details/sql-server-stretch-database/ page. Stretch Database bills compute and storage separately. Compute usage is represented by Database Stretch Unit (DSU) and customers can scale up and down the level of performance/DSUs they need at any time. The prices given here were valid on 28th February 2018:

Performance level (DSU)

Price in $ per month

100

1,825

200

3,650

300

5,475

400

7,300

500

9,125

600

10,950

1,000

18,250

1,200

21,900

1,500

27,375

2,000

36,500

Stretch DB price list

Database sizes are limited to 240 TB. Monthly price estimates are based on 730 hours per month at constant DSU levels. Stretch DB is generally available in all regions except  southern India, Northern China...