Designing Data-Intensive Applications 2nd Edition

□ I. THÔNG TIN SẢN PHẨM
□ Mã sản phẩm : STT1710
□ Nhà xuất bản : O'Reilly Media
□ Tác giả : Martin Kleppmann and Chris Riccomini
□ Ngôn ngữ : Tiếng Anh
□ ISBN : 9781098119065
□ Số trang : 670 trang
□ Hình thức : Bìa Mềm, RUỘT IN ĐEN TRẮNG, BÌA IN MẪU LASER GIẤY C300 CÓ CÁN
□ Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
□ Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và highlight thoải mái.
□ Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

□ II. MÔ TẢ SẢN PHẨM
□ 1.Mô tả sản phẩm đầy đủ
Data is the lifeblood of modern software, yet it presents immense challenges for system designers. From ensuring high availability to maintaining data consistency across globally distributed clusters, the complexities can be overwhelming. In "Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems, 2nd Edition," authors Martin Kleppmann and Chris Riccomini provide a comprehensive and practical guide to navigating the fast-evolving landscape of data technologies. Building upon the success of the first edition—widely considered the definitive resource for data engineering—this updated volume addresses the emerging trends and technologies that have reshaped the industry over the last decade. As developers transition from traditional relational databases to a diverse ecosystem of NoSQL datastores, stream processors, batch systems, and cloud-native services like data lakes, the need for a clear, fundamental understanding has never been greater. This book bridges the gap between academic research in distributed systems and the pragmatic needs of industrial software engineering. Readers will explore the internal workings of the systems they use every day, gaining insights into how databases store data on disk, how replication and sharding function under the hood, and how to handle the inevitable failures that occur in distributed environments. The authors delve deep into the trade-offs between consistency, scalability, and fault tolerance, providing a framework for making informed decisions rather than relying on marketing hype. The second edition introduces significant updates, including a greater focus on cloud-native architectures, the nuances of modern data regulations such as GDPR, and the integration of tools like Apache Spark and Flink. It examines the philosophy of "data-intensive" as opposed to "compute-intensive" applications, emphasizing that the primary bottleneck in modern systems is often the volume, complexity, or changing nature of data. Whether you are an architect designing a new system from scratch or a senior engineer optimizing an existing real-time pipeline, this book serves as an indispensable reference. It equips you with the vocabulary and mental models needed to evaluate new tools, understand the "why" behind system designs, and build robust applications that stand the test of time.

□ 2. Tác giả
Martin Kleppmann is an Associate Professor at the University of Cambridge and a researcher in distributed systems. Previously, he was a software engineer and entrepreneur at Internet companies including LinkedIn and Rapportive. He is the author of the best-selling first edition of Designing Data-Intensive Applications. Chris Riccomini is a software engineer, startup investor, and author with over 15 years of experience at PayPal, LinkedIn, and WePay. He is the co-creator of Apache Samza and SlateDB, and the co-author of The Missing README. Both authors bring a wealth of experience in building and scaling some of the world's most sophisticated data infrastructures.