Quintessential Queries: A complete guide on beginner to advanced querying tools in Microsoft SQL Server - EBook
Knowing how to effectively query databases is essential for anyone who works in the data science and software industry. Today's world is very data-driven, and organizations rely heavily on data to make informed decisions and create meaningful solutions. With the right skills and knowledge, querying databases can be a powerful tool for extracting insights and making data-driven decisions.
Quintessential Queries discusses several of the important querying tools you should know if you find yourself in the position of needing to query Microsoft SQL Server databases. We discuss the most common querying tools you will likely encounter in your day-to-day work as a data professional, as well as the more complex tools you should know to solve the more challenging tasks.
Here’s the basic table of contents of the book:
- Chapter 1: The Basics
- Chapter 2: Set Operators
- Chapter 3: JOIN Operations
- Chapter 4: The GROUP BY Clause and Aggregate Functions
- Chapter 5: NULL: The Great Unknown
- Chapter 6: CAST and CONVERT
- Chapter 7: String Manipulation
- Chapter 8: Decision Structures
- Chapter 9: Table Expressions
- Chapter 10: Subqueries
- Chapter 11: Window Functions
- Chapter 12: Advanced Querying Tools
- Chapter 13: Query Output Formats
All this content adds up to over 370 pages of information!
Whether you are a beginner or have been working with data for a while, this book is for you! The book breaks down these difficult topics using helpful analogies and clear, plain speaking that is easy to understand. We take the time to thoroughly discuss these various querying tools and work through simple examples to help you understand.
By the time you finish this book, you will have a SOLID understanding of the most common and useful querying tools available to us in Microsoft SQL Server. You will certainly add value to yourself and your company, and hopefully further your career in data!
This book will be an excellent resource for you to reference during your career as a data professional!