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

By:

Kleppmann, Martin

Material type: Text

9789352135240

Subject(s):

DDC classification:

005.7 23 KLE-D

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	Collection	Call number	Status	Date due	Barcode	Item holds
Books	IIITD Reference	Computer Science and Engineering	REF 005.7 KLE-D (Browse shelf(Opens below))	Not for loan		011616
Books	IIITD General Stacks	Computer Science and Engineering	005.7 KLE-D (Browse shelf(Opens below))	Checked out	09/12/2024	011418

Total holds: 0

Browsing IIITD shelves, Shelving location: Reference, Collection: Computer Science and Engineering Close shelf browser (Hides shelf browser)

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Previous	REF 005.7 BAE-M Modern information retrieval :	REF 005.7 BUT-I Information retrieval :	REF 005.7 HAN-S Signal processing and networking for big data applications	REF 005.7 KLE-D Designing data-intensive applications : the big ideas behind reliable, scalable, and maintainable systems	REF 005.7 MAN-I Introduction to information retrieval	REF 005.7 SOM-B Big data analytics	REF 005.7 SUG-B Big data is not a monolith	Next

Includes index.

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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