This book is an absolute must-read for any software engineer who regularly works with databases. It covers essential concepts that are crucial for daily operations.
This book offers some really solid advice on database design, though it steers clear of the administrative side. While a few points felt a bit repetitive or perhaps too obvious, I still found plenty of interesting takeaways that were worth the read.
This book is a fantastic resource for developers looking to deepen their understanding of database design and management. It effectively bridges the gap that often exists between development and DBA roles, offering valuable insights into essential patterns and practices.
This book is a fantastic resource, especially for those looking to deepen their understanding of database design. While some sections might feel a bit elementary for seasoned professionals, beginners will find a wealth of knowledge here. The author does an excellent job of dissecting the advantages and disadvantages of various design decisions, empowering readers to make informed choices.
This is a fantastic book that every programmer who works with databases should read thoroughly. The author brilliantly reinforces theoretical concepts through practical examples, so you don't even realize you're learning the theory until it's solidified. It's a really effective approach, and the book concludes by neatly tying all the theoretical rules back to the examples provided throughout.
Anyone even remotely connected to databases absolutely needs to pick up this book. Both developers and DBAs will find immense value in its pages. The writing is superb, the content is excellent, and it's remarkably easy to digest. Plus, there's no wasted space; every bit of it is essential.
This book is packed with career-boosting insights, making it a fantastic resource for everyone from novices to seasoned pros. The content is so well-structured that you can easily jump to any topic that catches your eye. It brilliantly highlights anti-patterns, explains their pitfalls, and offers practical solutions. I'll definitely be revisiting this one and keeping it close at hand for future reference.
This book really dives deep into the complexities of DB implementation, programming, and design, which is fantastic. While I personally would have preferred more focus on common pitfalls and antipatterns rather than just illustrative examples, I can see why others might enjoy it. It's a solid resource for understanding the often-overlooked foundational aspects of SQL that many data professionals don't frequently consider.
This book proved to be a quick read, especially for someone already familiar with SQL. While experienced programmers will likely recognize most of the concepts, it's an excellent resource for those new to engineering, offering valuable insights that warrant a higher rating if approached with focused attention.
This book offers a solid exploration of database design challenges and frequent pitfalls. It's a resource I'll definitely be keeping handy for both new endeavors and when revisiting current projects. It was quite satisfying to realize I've managed to sidestep many of these issues in my own work. Plus, I even learned some neat SQL techniques I hadn't encountered before!
This book dives deep into RDBMS design, which feels a bit excessive given the abundance of existing systems. I found Part 3, focusing on Query Antipatterns, to be the most valuable for my data analytics work. It's structured well, presenting problems and then offering solutions, making it a solid resource for self-learners who might lack formal training. While it's a decent read, I personally didn't find many novel insights, as the issues discussed often stem from a lack of fundamental best practices.
Even though this book is a bit dated, its advice remains incredibly relevant and practical. The author breaks down complex ideas into easily digestible formats with clear examples, making it a valuable read for anyone, especially software developers who might wish they'd encountered it sooner. I particularly appreciated the nuanced approach, where most anti-patterns came with concrete exceptions and helpful tips for spotting them in others' work. While some of the proposed solutions might be a tad challenging for junior developers, the core insights are undeniably powerful.
This book really breaks down why certain database practices are considered antipatterns, and the author's reasoning is crystal clear. While I'm familiar with many of these concepts from previous reading, the author's unique perspective on leveraging SQL from within an application context is particularly insightful. I've already found several actionable ideas to implement on my current project, even for some of the more straightforward antipatterns discussed.
This book is a solid three stars for seasoned SQL users; it mostly confirms what you already know about common pitfalls, offering a sense of solidarity rather than groundbreaking insights. For newcomers, however, it's a four-star read, potentially saving them from developing bad habits early on. Still, I question if simply reading about poor practices is as effective as experiencing them firsthand to truly understand their awfulness.
This book was exactly what I needed as I wrestled with my website's database design. It opened my eyes to so many mistakes I'd been making, and I'm incredibly grateful to have stumbled upon such a valuable resource.
This book is definitely well-structured, but I'd say it's best suited for junior developers looking to fill in some foundational knowledge gaps rather than senior engineers seeking to dive deeper into the SQL language. While I'm still on the fence about a precise star rating, I'd recommend it primarily to less experienced engineers.
This book is a fantastic resource for anyone just starting out with SQL. I really wish I'd found it sooner, as it would have saved me a lot of headaches and solved several problems I've encountered in my work. It's incredibly helpful for beginners.
This book is fantastic! The chapters are concise and written in a wonderfully conversational style, making it incredibly easy to digest. I particularly appreciated the inclusion of sections detailing when to apply the antipatterns discussed, which is a feature I'll be returning to frequently.
This book is an absolute gem, offering a comprehensive look at every anti-pattern I've ever fallen into. I genuinely wish I'd stumbled upon this resource years ago; it would have saved me a lot of trouble. It's a must-read for anyone looking to improve their coding practices.
My programmer pals pointed me toward this one, and it turned out to be a solid choice. While it's not focused on T-SQL, the book really shines in its exploration of fundamental principles for effective database model design. It's a quick and insightful read that I'd definitely recommend.
This book, while based on an older printing, offered some genuinely useful insights, particularly for those newer to database development. The author's approach to real-world examples is commendable, making complex topics accessible. While experienced developers might find it a bit basic, it's a solid recommendation for anyone looking to improve their SQL practices and database problem-solving skills.
This book is an absolute must-read for any developer dealing with databases, especially relational ones, which often get overlooked. The author brilliantly structures the content, making it incredibly easy to digest and use as a quick reference. I particularly found the "Logical Database Design Anti-patterns" chapters to be eye-opening, as they pinpoint common pitfalls that lead to poor RDB usage. While the examples primarily use MySQL and PHP, which might not be everyone's first choice, the quality of the SQL examples and the provided source code make it easy to adapt the solutions to other environments like PostgreSQL.
Having worked with various relational databases for over two decades, I can attest that the author's deep understanding of SQL antipatterns is evident throughout this well-structured book. It's an essential read for anyone involved in database design or development, offering practical insights to avoid common pitfalls. While the book is excellent, I'd love to see more on using UUIDs for primary keys in future editions, and it pairs nicely with other resources for deeper dives into specific subtopics. Ultimately, staying current with SQL standards is crucial, and this book provides a solid foundation for navigating the complexities of relational databases.
This book does a fantastic job of detailing common antipatterns in SQL, particularly concerning physical data model design in relational databases. It clearly explains how to identify these issues and offers practical alternative solutions. The author's effort to make the advice broadly applicable across various SQL databases, while also noting specific product differences for MySQL, Oracle, PostgreSQL, and MS SQL, is a significant plus. I'd wholeheartedly recommend this as essential reading for students struggling with database schema design, and even for programmers who still inadvertently create vulnerabilities for SQL injection attacks. My only reservation, leading to a three-star rating, is that some topics, especially the proposed solutions, could have benefited from more in-depth discussion.
This book was a fantastic resource for understanding Hibernate better, especially for someone like me who isn't an SQL guru but often has to craft queries. It clearly explains common anti-patterns and offers valuable insights into security, like password storage and SQL injection prevention. I particularly appreciated the sections on application development, including testing and migration strategies, and the comparison of Active Record versus Repository patterns solidified my current project's choices. It's a concise yet information-packed read, clearly drawing from real-world experience, and I'd highly recommend it to anyone working with relational databases.
This book serves as a comprehensive catalog of common pitfalls in relational database and SQL usage, as perceived by the author. Many of the discussed antipatterns stem from fundamental misunderstandings of good database design, like the classic mistake of storing multiple values in a single column, exemplified by a blog's 'TAGS' column containing comma-separated values. While the author provides memorable titles for these practices to avoid, the review expresses a desire for more practical guidance on writing performant SQL queries, particularly concerning complex JOIN statements, which was a notable omission. It's a useful collection of what *not* to do, but perhaps not the ideal starting point for newcomers to the subject.
This book offers a decent dive into SQL, primarily targeting those with beginner to intermediate knowledge. While absolute beginners might find some concepts a bit challenging, individuals who've developed database interfaces for a few applications could find parts of it quite engaging. However, seasoned SQL users will likely find the material covers familiar ground.
This book is a fantastic introduction to database design and optimization, especially for someone with my five years of professional software development experience. It clearly outlines common anti-patterns, providing compelling reasons for avoiding them, and I've certainly encountered many of them myself. The author also does a great job of pointing readers toward further resources with the extensive list of cited books, making it an excellent jumping-off point for deeper study.
This book feels like it's trying to hit a very narrow target audience. It's probably too detailed for beginners, yet it doesn't offer much groundbreaking insight for seasoned data modelers. Perhaps a software engineer specifically tasked with building a new service might find some value here, though I can't recall if the author himself suggested this. Ultimately, for most people diving into data modeling, sticking with Kimball's work seems like a more reliable bet.
This book was absolutely fantastic! I couldn't put it down from start to finish.
