August 2019
Beginner to intermediate
696 pages
15h 45m
English
book
Mastering SQL Server 2017
by Milos Radivojevic, Dejan Sarka, William Durkin, Christian Cote, Matija Lah
Overview
Leverage the power of SQL Server 2017 Integration Services to build data integration solutions with ease
Key Features
- Work with temporal tables to access information stored in a table at any time
- Get familiar with the latest features in SQL Server 2017 Integration Services
- Program and extend your packages to enhance their functionality
Book Description
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 Milos Radivojevic, Dejan Sarka, et. al
- SQL Server 2017 Integration Services Cookbook by Christian Cote, Dejan Sarka, et. al
What you will learn
- Use columnstore indexes to make storage and performance improvements
- Extend database design solutions using temporal tables
- Exchange JSON data between applications and SQL Server
- Migrate historical data to Microsoft Azure by using Stretch Database
- Design the architecture of a modern Extract, Transform, and Load (ETL) solution
- Implement ETL solutions using Integration Services for both on-premise and Azure data
Who this book is for
This Learning Path is for database developers and solution architects looking to develop ETL solutions with SSIS, and explore the new features in SSIS 2017. Advanced analysis practitioners, business intelligence developers, and database consultants dealing with performance tuning will also find this book useful. Basic understanding of database concepts and T-SQL is required to get the best out of this Learning Path.
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.