SQL: Practical Guide for Developers

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· Elsevier
E-book
272
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SQL is a solid guide and reference to the key elements of SQL and how to use it effectively. Developed by authors who needed a good resource for students in their database class, this is an ideal supplement for database courses — no matter what main text you use or what flavor of SQL is required. It features a short and inexpensive introduction to SQL for students who have some programming experience and need to learn the main features of SQL; and suggested shortcuts for learning and practice, depending on the experience of the user. This book is recommended for novice developers, programmers, and database administrators as well as students in database courses, business courses, and IT-related courses. - Provides tutorial-based instruction for the main features of SQL for programmers and other technical professionals in need of a brief but really good introduction to SQL. - The approach is vendor-neutral—so very adaptable and flexible - The focus is on teaching concepts by walking through concrete examples and explanations, and self-review exercises are included at the end of each chapter. - Coverage is on the key features of the language that are required to understand SQL and begin using it effectively. - SQL 2003-compliant.

O autorze

Michael J. Donahoo teaches networking to undergraduate and graduate students at Baylor University, where he is an assistant professor. He received his Ph.D. in computer science from the Georgia Institute of Technology. His research interests are in large-scale information dissemination and management.Gregory D. Speegle is an associate professor at Baylor University where he has taught graduate and undergraduate database courses for 10 years. He received a B.S. degree from Baylor in 1984, and a Ph.D. from the University of Texas in 1990. He has been the graduate director since 1994. Dr. Speegle believes students should be comfortable using databases as part of routine programming. His area of research interest is multimedia databases.

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