Introduction to SQL: With Microsoft SQL Server pdf

This book is a hands-on course from the first page and will take you to the next level step by step.

You install SQL Server yourself — on Windows, or on macOS and Linux through a container — and then build your own database: 100,000 order lines across products, customers, orders, staff and exchange rates. Every chapter from there works on that same data, so your skill compounds instead of resetting with each new toy example.

SQL rewards you quickly. SELECT, FROM, WHERE, JOIN, GROUP BY — five keywords and you are answering real questions with real data. This book takes you from that first afternoon all the way to the judgement that makes an analyst genuinely dependable: the ability to write a query, know exactly what it means, and prove the number is right.

And because the data is generated by arithmetic rather than at random, it is identical on your machine and mine. When a correction says a query returns 8,605,294.40, you will see 8,605,294.40 on your own screen. You always know exactly where you stand.

BUILT FOR PRACTICE

- 334 exercises and graded questions: 238 through the chapters and 96 in the final assessment.
- 334 full worked corrections. Every one gives the answer, the query, the reasoning behind it, and what the alternatives would have cost you.
- 683 runnable examples, all against the database you build in Chapter 4 and keep using to the last page.
- A 122-mark graded assessment that places you in one of four bands, so you can measure your progress honestly and see exactly what to study next.

WHAT YOU WILL BE ABLE TO DO

- Read any query and say precisely what one row of its result represents.
- Predict a join's row count before you run it, and know instantly when a total has been inflated.
- Track a surprising figure to its cause in minutes, using a method rather than guesswork.
- Read an execution plan, find the operator that matters, and choose the change that fixes it.
- Design tables and constraints that make bad data impossible rather than merely unlikely.
- Show that a report reconciles to its source, and defend it when someone asks.

THREE CHAPTERS YOU WILL NOT FIND ELSEWHERE

- Debugging SQL as a discipline. How to locate the join that changed your total, how to bisect a query, how to reproduce a stored procedure's behaviour with the parameters it actually received.
- Every other major database. PostgreSQL, MySQL, Oracle, SQLite, Snowflake, BigQuery and more: what transfers, what does not, and what to check first when your SQL travels.
- A complete capstone. A layered analytics build with constraints, indexes, transactions, tests and a reconciliation that ties, which is the shape of the work as it is actually done.

WHAT IT COVERS

Thirty-two chapters and five appendices: installation and tooling; the relational model; SELECT and the order the engine really uses; NULL and three-valued logic; aggregation, joins, subqueries, CTEs, set operators and window functions; INSERT, UPDATE, DELETE and MERGE; constraints, normalisation and design; transactions, isolation and deadlocks; indexes, execution plans and tuning; dynamic SQL and security; JSON and XML; data quality and testing; plus a T-SQL cheat sheet, an error-number decoder, a dialect translation table and a glossary.

WHO IT IS FOR

Complete beginners — no programming experience assumed — and working analysts and developers ready to move from writing SQL that runs to writing SQL that is right. Targets SQL Server 2022 and 2025, and the thinking transfers to any relational database.