The focus of this book is effective databases
for text and document management inclusive of new and enhanced
techniques, methods, theories and practices. The research contained in
these chapters is of particular significance to researchers and
practitioners alike because of the rapid pace at which the Internet and
related technologies are changing our world. Already there is a vast
amount of data stored in local databases and Web pages (HTML, DHTML,
XML and other markup language documents). In order to take advantage of

Your in-depth guide to using the new Microsoft data mining standard to solve today's business problems

ySQL is the world's most popular open source database. MySQL is designed for speed, power, and flexibility in mission-critical, heavy-use environments and modest applications as well. It's also surprisingly rich in features. If you're a database administrator or programmer you probably love the myriad of things MySQL can do, but sometimes wish there wasn't such a myriad of things to remember. With MySQL in a Nutshell by your keyboard, you can drill down into the full depth of MySQL's capabilities quickly and easily.

Is your data dragging you down? Are your tables all tangled up? Well we've got the tools to teach you just how to wrangle your databases into submission. Using the latest research in neurobiology, cognitive science, and learning theory to craft a multi-sensory SQL learning experience, Head First SQL has a visually rich format designed for the way your brain works, not a text-heavy approach that puts you to sleep. Maybe you've written some simple SQL queries to interact with databases. But now you want more, you want to really dig into those databases and work with your data.

How to transform raw data into knowledge–and empower businesses with a significant competitive edge!

What is a "data warehouse?" It's a database that's structured to support business decision making. A data warehouse organizes, analyzes, and synthesizes huge amounts of raw data–so that it's intelligible and useful to employees. Until recently, all that data would be stored in centralized, monolithic storage media. It was cumbersome to manage, slow to operate, and expensive to maintain.

This book is aimed at PHP developers who are developing applications against an Oracle database. You may already be using another database and have a requirement or a preference to move to Oracle. You may be starting out with PHP database development. You may be unsure how to install PHP and Oracle. This book aims to remove any confusion.

This book is not a complete PHP or Oracle guide. It is assumed that you already have basic PHP and SQL knowledge and want best practices in using PHP against an Oracle database.

The Art of SQL offers best practices that teach experienced SQL users to focus on strategy rather than specifics. Faroult’s approach takes a page from Sun Tzu’s classic treatise by viewing database design as a military campaign.

You need knowledge, skills, and talent. Talent can’t be taught, but every strategist from Sun Tzu to modern-day generals believed that it can be nurtured through the experience of others.

This page is a introductory tutorial of the Structured Query Language (also known as SQL) and is a pioneering effort on the World Wide Web, as this is the first comprehensive SQL tutorial available on the Internet.

SQL allows users to access data in relational database management systems, such as Oracle, Sybase, Informix, Microsoft SQL Server, Access, and others, by allowing users to describe the data the user wishes to see. SQL also allows users to define the data in a database, and manipulate that data.

The history of SQL begins in an IBM laboratory in San Jose, California, where SQL was developed in the late 1970s. The initials stand for Structured Query Language, and the language itself is often referred to as “sequel.” It was originally developed for IBM’s DB2 product (a relational database management system, or RDBMS, that can still be bought today for various platforms and environments). In fact, SQL makes an RDBMS possible.

Most business data are stored in relational database systems, and SQL (Structured Query Language) is used for data retrieval and manipulation. With XML (Extensible Markup Language) rapidly becoming the de facto standard for retrieving and exchanging data, new functionality is expected from traditional databases.

Existing SQL applications will evolve to retrieve relational data as XML data using database or SQL extensions for XML. New XML data will be stored, searched, and manipulated in the database as a “first class” citizen along with existing relational data.