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SQL in 7 Days: A Quick Crash Course in Manipulating Data, Databases Operations, Writing Analytical QueriesНазвание: SQL in 7 Days: A Quick Crash Course in Manipulating Data, Databases Operations, Writing Analytical Queries, and Server-side Programming
Автор: Alex Bolenok
Издательство: BPB Publications
Год: 2023
Страниц: 279
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB

This book provides lucid explanations of the features of SQL, beginning with the most fundamental and progressing to the most advanced. You'll be able to learn how to perform everyday SQL operations like adding new entries, modifying or deleting old ones, and performing simple and sophisticated SQL queries with the assistance of this book, which makes learning SQL a more efficient and practical process. This book will teach you some of the more complex features of database management, including joining algorithms, materialized views, optimizers, and indexing, and it will do so by providing you with proven illustrations. Finally, the book demonstrates how to get started with cloud-based database design by providing step-by-step instructions.

With case studies drawn from the author's own experience, the book teaches you everything you need to know about SQL. This book walks you through the inner workings of a database system and teaches you how to utilize SQL to get the most out of your database. As the book progresses, you'll get a deeper understanding of database engineering principles that will speed up data mining and analysis.

In this book, I will be using PostgreSQL version 13.2 as a reference. All SQL code that you will find in this book works in PostgreSQL version 13.2. There is a good chance that this SQL code will work on other database systems, but your mileage may vary. If you want to use these queries on other database systems, you might need to make some minor tweaks. Please refer to your product documentation for details. I will mostly stick to the code compatible with the ANSI standard, but sometimes I will be using PostgreSQL extensions. Most times, other major database vendors support similar extensions, even though the syntax may vary slightly. I will try my best to give a warning in a footnote if that is the case.

To run the code used in this book, you will need a database server and a database, populated with data. They both are available as a Docker image. You can find instructions on building and using the Docker image on the book's GitHub page as well.

WHAT YOU WILL LEARN
-Perform operations such as projections, joins, filters, aggregations, and CTE.
-Optimize database performance, including indexing, query planning, and materialization.
-Examine client-side and server-side programming for SQL databases.
-Become proficient with OLTP and data warehouse databases.
-Cutting-edge knowledge of cloud database design techniques.

WHO THIS BOOK IS FOR
This book is for every data professional, including database developers, project managers, database administrators, software engineers, web developers, and full-stack developers, who wish to learn and apply SQL in their development operations quickly. This book may be read by anyone, regardless of whether or not they are familiar with SQL.

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