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Item #:
150163906
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Item #:
150163906
CAD 112
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Product Details
- Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data warehouses, and data lakes. There are cloud services, on-premises services, and embedded databases. What are the right choices for your application? How do you make sense of all these buzzwords?In this second edition, authors Martin Kleppmann and Chris Riccomini build on the foundation laid in the acclaimed first edition, integrating new technologies and emerging trends. You'll be guided through the maze of decisions and trade-offs involved in building a modern data system, learn how to choose the right tools for your needs, and understand the fundamentals of distributed systems.Peer under the hood of the systems you already use, and learn to use them more effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsLearn how major cloud services are designed for scalability, fault tolerance, and consistencyUnderstand the core principles upon which modern databases are built
| Publisher | O'Reilly Media |
| Publication date | March 24, 2026 |
| Edition | 2nd |
| Language | English |
| Print length | 670 pages |
| ISBN-10 | 1098119061 |
| ISBN-13 | 978-1098119065 |
| Item Weight | 2.54 pounds (1.15 kg) |
| Dimensions | 7 x 2 x 9.19 inches (17.8 x 5.1 x 23.3 cm) |
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Data Modeling & Design Editorial Review
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems offers an in-depth exploration of distributed systems, databases, and scalability. With 670 pages of valuable insights, it particularly appeals to backend engineers seeking to enhance their system design skills. Many users highly recommend it for its rich content, despite some concerns regarding the print quality. Reviews indicate that while the information is excellent, readers have varying experiences with print legibility. Some have found the print acceptable, while others criticize the contrast and fading, emphasizing the importance of clear text for effective reading.
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Pros
- In-depth exploration of distributed systems
- Highly recommended by many readers
- Excellent resource for backend engineers
- Rich insights on scalability and reliability
- Second edition updates in printing quality
Cons
- Print quality inconsistencies reported by some readers
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