Master SQL Easily (Part 4)

Author: [USA] Stephen S. et al. (), Zhang Qiyong et al. ()
Publisher:
Publish Date: 2003-10-01
Features: Mastering Structured Query Language (SQL) is a must for database-related professionals. Most application development and programming tasks require a certain level of SQL knowledge. This book is an ideal choice for readers to systematically grasp SQL knowledge in a relatively short time. If you are preparing to work in the database field, the translator believes this is a good book worth reading. At least, this book is worth highlighting in the following three aspects: its organization and structure enable beginners to systematically master SQL in a short time; the author's clear thinking and writing style are straightforward, concise, and easy to understand, avoiding the verbosity and obscurity often found in foreign books; the author's practical experience is embedded in the knowledge introduction, example code, exercises, and answers. SQL is a powerful language, and proficiency in mastering and flexibly applying SQL is the fundamental skill for beginners in database knowledge and database application developers. China Machine Press translated and published the second edition of this book in 1999 and the third edition in 2000, both achieving excellent results and becoming bestsellers, influencing many database-related professionals. The newly published fourth edition further enhances the quality of the book in terms of technical content and writing style. This book systematically introduces the main components of Structured Query Language (SQL) from four aspects: basic concepts, data operations, system management, and popular products. Compared to the third edition, it adds more new topics, especially specific examples of MySQL. The numerous examples and exercises in the book help readers understand and master SQL, improving their ability to apply and develop relational databases in real-world business environments. This book is suitable for readers who want to systematically master SQL in a short time and also has high reference value for database developers.