Beginning T-SQL: A Step-by-Step Approach / by Kathi Kellenberger, Lee Everest.
2021
QA76.76.M52
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Title
Beginning T-SQL: A Step-by-Step Approach / by Kathi Kellenberger, Lee Everest.
Edition
4th ed. 2021.
ISBN
1484266064
9781484266069
1484266056
9781484266052
9781484266076 (print)
1484266072
9781484266069
1484266056
9781484266052
9781484266076 (print)
1484266072
Published
Berkeley, CA : Apress : Imprint: Apress, 2021.
Language
English
Description
1 online resource (XXIX, 706 p. 350 illus.)
Item Number
10.1007/978-1-4842-6606-9. doi
9781484266052
9781484266069
9781484266052
9781484266069
Call Number
QA76.76.M52
Dewey Decimal Classification
004.165
Summary
Get a performance-oriented introduction to the T-SQL language underlying the Microsoft SQL Server and Azure SQL database engines. This fourth edition is updated to include SQL Notebooks as well as up-to-date syntax and features for T-SQL on-premises and in the Azure cloud. Exercises and examples now include the WideWorldImporters database, the newest sample database from Microsoft for SQL Server. Also new in this edition is coverage of JSON from T-SQL, news about performance enhancements called Intelligent Query Processing, and an appendix on running SQL Server in a container on macOS or Linux. Beginning T-SQL starts you on the path to mastering T-SQL with an emphasis on best practices. Using the sound coding techniques taught in this book will lead to excellent performance in the queries that you write in your daily work. Important techniques such as windowing functions are covered to help you write fast-executing queries that solve real business problems.The book begins with an introduction to databases, normalization, and to setting up your learning environment. You will learn about the tools you need to use such as SQL Server Management Studio, Azure Data Studio, and SQL Notebooks. Each subsequent chapter teaches an aspect of T-SQL, building on the skills learned in previous chapters. Exercises in most chapters provide an opportunity for the hands-on practice that leads to true learning and distinguishes the competent professional. A stand-out feature in this book is that most chapters end with a Thinking About Performance section. These sections cover aspects of query performance relative to the content just presented, including the new Intelligent Query Processing features that make queries faster without changing code. They will help you avoid beginner mistakes by knowing about and thinking about performance from day 1. You will: Install a sandboxed SQL Server instance for learning Understand how relational databases are designed Create objects such as tables and stored procedures Query a SQL Server table Filter and order the results of a query Query and work with specialized data types such as XML and JSON Apply modern features such as window functions Choose correct techniques so that your queries perform well.
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Copyright Information
© Copyright 2021 Kathi Kellenberger, Lee Everest. 2021
Digital File Characteristics
text file
Added Author
Everest, Lee., author.
Available in Other Form
Print version: 1484266056
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Table of Contents
1. Getting Started
2. Exploring Database Concepts
3. Writing Simple SELECT Queries
4. Using Built-In Functions and Expressions
5. Joining Tables
6. Building on Subqueries, Common Table Expressions, and Unions
7. Grouping and Summarizing Data
8. Discovering Windowing Functions
9. Advanced WHERE Clauses
10. Manipulating Data
11. Managing Transactions
12. Understanding T-SQL Programming Logic
13. Implementing Logic in the Database
14. Expanding on Data Type Concepts
15. Working with XML and JSON
16. Writing Advanced Queries
17.Where to Go Next?
Appendix A: SQL Server for Linux and macOS
Appendix B: Using SSMS
Appendix C: SQL Notebooks.
2. Exploring Database Concepts
3. Writing Simple SELECT Queries
4. Using Built-In Functions and Expressions
5. Joining Tables
6. Building on Subqueries, Common Table Expressions, and Unions
7. Grouping and Summarizing Data
8. Discovering Windowing Functions
9. Advanced WHERE Clauses
10. Manipulating Data
11. Managing Transactions
12. Understanding T-SQL Programming Logic
13. Implementing Logic in the Database
14. Expanding on Data Type Concepts
15. Working with XML and JSON
16. Writing Advanced Queries
17.Where to Go Next?
Appendix A: SQL Server for Linux and macOS
Appendix B: Using SSMS
Appendix C: SQL Notebooks.