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

By: Publisher: Boston : O'Reilly Media, 2017 [ninth Indian reprinted 2022]Edition: First editionDescription: xix, 590 pages : illustrations, charts ; 24 cmISBN:
  • 9781449373320
  • 1449373321
  • 9789352135240
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.
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Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode Item holds
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 005.7 KLE (Browse shelf(Opens below)) 1 Available 3010033431
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 005.7 KLE (Browse shelf(Opens below)) 2 Available 3010033432
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 005.7 KLE (Browse shelf(Opens below)) 3 Available 3010039699
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 005.7 KLE (Browse shelf(Opens below)) 4 Available 3010039700
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 005.7 KLE (Browse shelf(Opens below)) 5 Checked out 01/07/2024 3010039701
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.

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