
Anyone who interacts with today’s modern databases needs to know SQL (Structured Query Language), the standard language for generating, manipulating, and retrieving database information. In recent years, the dramatic rise in the popularity of relational databases and multiuser databases has fueled a healthy demand for application devel¬opers and others who can write SQL code efficiently and correctly.
If you’re new to databases or need a SQL refresher, Learning SQL on SQL Server 2005 is an ideal step-by-step introduction to this database query tool, with everything you need for programming SQL using Microsoft’s SQL Server 2005—one of the most powerful and popular database engines used today. Plenty of books explain database theory. This guide lets you apply the theory as you learn SQL. You don’t need prior database knowledge, or even prior computer knowledge.
Based on a popular university-level course designed by authors Sikha Saha Bagui and Richard Walsh Earp, Learning SQL on SQL Server 2005 starts with very simple SQL concepts, and slowly builds into more complex query development. Every topic, concept, and idea comes with examples of code and output, along with exercises to help you gain proficiency in SQL and SQL Server 2005.
With this book, you’ll learn:
Whether you’re a self-learner who has access to the new Microsoft database, working on SQL Server with access at your company, or a computer science student or MIS student, Learning SQL on SQL Server 2005 will get you up to speed on SQL in no time.
About the Authors
Dr. Sikha Bagui is an Assistant Professor in the Computer Science Department at the University of West Florida in Pensacola. She and Richard Walsh Earp have teamed up to write "Learning SQL: A Step-By-Step Guide using Oracle" and "Learning SQL: A Step-By-Step Guide using Access" for Addison-Wesley, and "Conceptual Database Design Using ER Diagrams" for CRC Press. Dr. Bagui and Richard Earp have also collaborated on several articles for academic journals in their field, and have designed an introductory database course.
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