Learning SQL. Pages · SQL Server Integration Services (SSIS) Step by Step Tutorials Inside Microsoft SQL Server T-SQL Querying eBook. Learning SQL: Master SQL Fundamentals (2nd ed.) by Alan Beaulieu. Read online, or download in DRM-free EPUB or DRM-free PDF format. SQL (Structured Query Language) is a standard programming language for generating, manipulating, and retrieving information from a relational database.
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Nutshell Handbook, the Nutshell Handbook logo, and the O'Reilly logo are registered trademarks of. O'Reilly Media, Inc. Learning SQL, the image of an Andean. Editorial Reviews. Review. "If you have been avoiding coming to grips with SQL, or if you feel that you are only just coping with putting together queries and. Editorial Reviews. Book Description. Master SQL Fundamentals. About the Author. Alan Beaulieu has been designing, building, and implementing custom.
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You can either download their PDF version for offline reading or you can read them online. This book is for developers; it avoids unnecessary details about database internals.
Ideal for novices and experienced Oracle programmers alike. If you like paperback version then you can download that from site here. Snodgrass is available for free in pdf format from the author.
It offers incisive advice on recording temporal data using SQL data types, defining appropriate integrity constraints, updating temporal tables, and querying temporal tables with interactive and embedded SQL. Also, it provides case studies detailing real-world problems and solutions in areas such as event data, state-based data, partitioned data, and audit logs.
If I was working with several large spreadsheets and wanted to combine them, I had to copy data into a shared document and write complex functions to match to the two datasets—and on large datasets, these functions would often crash my spreadsheet. SQL is designed to make this easy. By being able to easily add new data to my analysis, I could find insights that would have previously gone undiscovered.
Work with data of all sizes. Spreadsheets can be great for analyzing hundreds and even thousands of records. But if datasets grow to tens of thousands of rows, spreadsheets become very difficult to manage.
SQL is optimized to handle datasets with millions—and even billions—of records. Replicate and audit faster. At first, a SQL query looks confusing compared to an Excel spreadsheet. But once you understand the basics of SQL, spreadsheets are far more difficult to understand.
Because you can't read step-by-step instructions that explain how spreadsheets calculate values you have to examine each cell , it's very difficult proofread spreadsheets or check their accuracy. An entire organization exists to educate people on spreadsheet risk management.
Moreover, it's nearly impossible to understand and extend someone else's work done in a spreadsheet.
Business analysts, data scientists, and big data admins can all benefit from these exercises. Note this is a massive book with just under pages and dozens of chapters. This is an incredible book for intermediate-to-advanced developers or DB admins who want real-world exercises for learning SQL.
The book contains 61 best practices and workflows that you can follow to drastically improve the quality and speed of your SQL queries. The authors do cover a lot of syntax tips but they go further discussing database architecture and metadata. Chapters delve into API development and pulling external data from other websites.
And this book covers absolutely everything you could possibly need plus quite a bit more.
Chapters break down into sections like querying data and programming SQL. You can easily look up any topic in the reference and likely find a related chapter covering that topic.
Either way this is the absolute best desk reference out there for SQL database work. This may not fit squarely in your pocket but it is easy to carry around or keep near your workstation. Every example in the book is based on a real database table. This truly is a great reference for anyone working with SQL. It may not be the best intro guide but it can certainly get a lot of use at work or on personal projects.
Specific chapters cover different topics and each exercise breaks down the SQL query to explain each piece.
The author Markus Winand also shares his thoughts on scalability and potential pitfalls that new developers make. This book is perfect for someone who knows enough about SQL to build apps, but not enough to make them optimized for performance. SQL Antipatterns You can learn a lot by studying the common mistakes to avoid while coding. SQL Antipatterns is the definitive guide to common pitfalls and screw ups made by newer web developers and DB admins.
The author Bill Karwin has an excellent way with writing each chapter. He explains one problem at a time going into great detail to pinpoint the cause.
Bill also defends his solutions with logic and decades of experience working in the IT industry. You can pick up this book at any skill level but it helps to be comfortable with SQL syntax. This is one of the few books created solely for advanced programmers who want to push the boundaries of their SQL knowledge. This book has been around for well over a decade and the newest update was published in It comes with over pages of exercises and lessons based on common SQL situations.
It does use plenty of SQL syntax but the real goal of this book is to familiarize the reader with general database theory. I actually recommend this to any web developer who wants to move into backend development because the writing is so clear and detailed.
It certainly helps, but this book was made for non-techies who need to understand relational databases. The early chapters literally define what a database is and how it functions.