9780805367805 - Introduction to Data Base Management di McFadden, Fred R.; Hoffer, Jeffrey A. (4 risultati)

Condizione: Good. Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc.

Hardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

Hardcover. Condizione: Very Good. Hardcover in very good condition. All inside pages are in great shape. Minor shelf wear to the cover.

Hardback. Condizione: Good. There are books that promise adventure, romance or mystery. Database Management promises databases. In 1985, this was apparently considered sufficient excitement to justify several hundred pages, and, remarkably enough, it still manages to be fascinating. Written by Fred R. McFadden and Jeffrey A. Hoffer, this substantial textbook emerged during a period when computers were rapidly transforming from mysterious room-filling machines into tools that businesses increasingly depended upon. The authors recognised a simple but important truth: information is only useful if you can find it again, and somebody needs to explain how that works. Within these pages lies a world of records, structures, relationships, systems and organisational logic. Modern readers accustomed to cloud storage, instant searches and databases quietly running in the background of everyday life may forget that somebody had to invent, refine and teach all of these concepts. Books such as this were part of that process. What makes the volume particularly intriguing today is its historical perspective. In 1985, database management was a rapidly developing field. Personal computers were still relatively new. The internet was not part of everyday life. Smartphones belonged firmly in the realm of science fiction. Yet many of the fundamental principles discussed here remain surprisingly relevant. There is a delightful irony in the subject matter. Databases are designed to organise information neatly and efficiently. Human beings, meanwhile, remain determined to generate information in the most chaotic manner possible. Much of the history of computing can be viewed as a prolonged struggle between these two forces. Readers with a technical background will appreciate the foundations being laid. Concepts that underpin modern software systems, websites, customer records and business applications are explored in a period when the discipline was still defining itself. It is a little like reading an early guide to aviation and discovering that many of the core ideas remain unchanged despite dramatic advances in technology. The book also functions as a fascinating time capsule. The examples, terminology and assumptions reflect the computing world of the mid-1980s, a period when data storage capacities that now seem laughably small were regarded as perfectly respectable. Today?s mobile phones casually outperform systems that once represented substantial corporate investments. Yet there is something admirable about the clarity and ambition of these early computing texts. The authors were helping readers navigate a technological revolution that was only just beginning. They could not have known exactly where it would lead, but they understood that information management would become increasingly important. This 1985 Benjamin-Cummings edition remains in good condition and comes from the shelves of Crappy Old Books. It has survived decades of technological change, software upgrades, failed hard drives and management fads with commendable resilience, remaining a solid and readable example of a classic computing text. An excellent acquisition for collectors of computer history, database professionals, technology enthusiasts or anyone curious about the foundations upon which much of the modern digital world was built. A reminder that before apps, social media and artificial intelligence, somebody first had to figure out how to organise the data.