Mastering SQL Server 2017
by: Christian Cote,Dejan Sarka,Matija Lah,Milos Radivojevic,William Durkin
Print Length 页数: 696 pages
Edition 版次: 1
Language 语言: English
Publisher finelybook 出版社: Packt Publishing
Publication Date 出版日期: 2019-08-22
ISBN-10: 1838983201
ISBN-13: 9781838983208
Book Description
By finelybook
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
By finelybook
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.
Contents
Preface
Chapter 1: Introduction to SQL Server 2017
Chapter 2: SQL Server Tools
Chapter 3: JSON Support in SQL Server
Chapter 4: Stretch Database
Chapter 5: Temporal Tables
Chapter 6: Columnstore Indexes
Chapter 7: SSIS Setup
Chapter 8: What Is New in SSIS 2016
Chapter 9: Key Components of a Modern ETL Solution
Chapter 10: Dealing with Data Quality
Chapter 11: Unleash the Power of SSIS Script Task and Component
Chapter 12: On-Premises and Azure Big Data Integration
Chapter 13: Extending SSIS Custom Tasks and Transformations
Chapter 14: Scale Out with SSIS 2017
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Index
