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 Tools

As developers, we are accustomed to using Integrated Development Environments (IDEs) in our software projects. Visual Studio has been a major player in the IDE space for many years, if not decades, and it has allowed developers to use the latest software development processes to further improve quality and efficiency in software projects. Server management, on the other hand, has generally been a second-class citizen for many products in the past. In general, this fact can be understood, if not agreed with. IDEs are tools that design and create software that can generate revenue for a business, whereas management tools generally only offer the benefit of some sort of cost-saving, rather than direct revenue generation.

The SQL Server Tools of the past (pre-SQL 2005) were very much focused on fulfilling the requirements of being able to manage and query SQL Server...