Whether you're running a business, keeping track of members and
meetings for a club, or just trying to organize a large and diverse
collection of information, you'll find the MySQL database engine
useful for answering questions such as:
* Which are my top ten fastest-selling products?
* How frequently does this person come to our facility?
* What was the highest, lowest, and average score of the team last season?
MySQL, the most popular open-source database, offers the power of
a relational database in a package that's easy to set up and
administer, and Learning MySQL provides all the tools you need to
get started. This densely packed tutorial includes detailed
instructions to help you set up and design an effective database,
create powerful queries using SQL, configure MySQL for improved
security, and squeeze information out of your data.
After covering the basics, the book travels far into MySQL's
subtleties, including complex queries and joins, how to interact with
the database over the Web using PHP or Perl, and important
house-keeping such as backups and security.
Topic include:
* Installation on Linux, Windows, and Mac OS X
* Basic and advanced querying using SQL
* User management and security
* Backups and recovery
* Tuning for improved efficiency
* Developing command-line and web database applications using the
PHP and Perl programming languages
The authors, Saied Tahaghoghi and Hugh E. Williams, have careers in
academia and business, and share a keen interest in research into
search technologies.
Whether you've never touched a database or have already completed
some MySQL projects, you'll find insights in Learning MySQL
that will last a career.
Rezensionen / Stimmen
"I recommend Tahaghoghi and Williams' Learning MySQL as an introduction to database solutions, especially as applied to web development. Buy this book and you won't be disappointed." - James Pyles, Linux Magazine, March 2007
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
1, black & white illustrations
ISBN-13
978-0-596-00864-2 (9780596008642)
Schweitzer Klassifikation
Hugh E. Williams is the Associate Professor in Information Retrieval in the School of Computer Science and IT at RMIT University in Melbourne, Australia. He teaches in all areas of computer science, and began teaching databases in 1995 and PHP programming in 2000. His research interests include building better web search engines, multimedia and genomic information retrieval, and designing fast data structures. When not at work Hugh likes to go running, watch Richmond play footy, follow the cricket, and write books. Hugh has a PhD from RMIT University. Saied Tahaghoghi is a supervisor for Information Technology programs at the School of Computer Science & Information Technology at RMIT University in Melbourne, Australia. He speaks frequently at the Melborne MySQL User Group and at open source conferences in Asia.