Designing data-intensive applications : the big ideas behind reliable, scalable, and maintainable systems / Martin Kleppmann
Material type:
TextPublication details: India O'Reilly / SPD 2017Description: 590 pISBN: - 9789352135240
- 005.3 KLE-M
| Item type | Current library | Collection | Shelving location | Call number | Status | Date due | Barcode | Item holds | |
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Books
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BITS Pilani Hyderabad | 003-007 | General Stack (For lending) | 005.3 KLE-M (Browse shelf(Opens below)) | Checked out | 12/08/2025 | 40388 |
Data is at the centre of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?
In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. The software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
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