Islamic University of Technology OPAC


Image from Coce

Designing data-intensive applications : the big ideas behind reliable, scalable, and maintainable systems / Martin Kleppmann.

By: Material type: TextTextPublisher: Boston : O'Reilly Media, 2017Copyright date: ©2017Edition: First editionDescription: xix, 590 pages : illustrations, charts ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781449373320
  • 1449373321
Subject(s): DDC classification:
  • 005.7 23
LOC classification:
  • QA76.76.A65 K612 2017
Contents:
Part 1. Foundations of data systems. Reliable, scalable, and maintainable applications -- Data models and query languages -- Storage and retrieval -- Encoding and evolutuion -- Part 2. Distributed data. Replication -- Partitioning -- Transactions -- The trouble with distributed systems -- Consistency and consensus -- Part 3. Derived data. Batch processing -- Stream processing -- The future of data systems.
Summary: Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and mainteinability. In addition, we have an overwhelming variet 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 gjuide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. 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.
Item type: Books
Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode Item holds
Books IUT Library General Stacks 005.7 KLD 01 Checked out 05/29/2026 0000045501
Books IUT Library General Stacks 005.7 KLD 02 Checked out 04/26/2026 0000045502
Books IUT Library General Stacks 005.7 KLD 03 Checked out 04/28/2026 0000045503
Books IUT Library General Stacks 005.7 KLD 04 Checked out 04/14/2026 0000045504
Books IUT Library General Stacks 005.7 KLD 05 Available 0000045505
Total holds: 0

Includes index.

Part 1. Foundations of data systems. Reliable, scalable, and maintainable applications -- Data models and query languages -- Storage and retrieval -- Encoding and evolutuion -- Part 2. Distributed data. Replication -- Partitioning -- Transactions -- The trouble with distributed systems -- Consistency and consensus -- Part 3. Derived data. Batch processing -- Stream processing -- The future of data systems.

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and mainteinability. In addition, we have an overwhelming variet 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 gjuide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. 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.

© 2025 | Library, Islamic University of Technology