Book

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

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Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of tools and analytical systems, including relational databases, NoSQL datastores, plus data warehouses and data lakes. What are the right choices for your application? How do you make sense of all these buzzwords?
In this second edition, authors Martin Kleppmann and Chris Riccomini build on the foundation laid in the acclaimed first edition, integrating new technologies and emerging trends. You'll be guided through the maze of decisions and trade-offs involved in building a modern data system, from choosing the right tools like Spark and Flink to understanding the intricacies of data laws like the GDPR.

Peer under the hood of the systems you already use, and learn to use them more effectively
Make informed decisions by identifying the strengths and weaknesses of different tools
Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
Understand the distributed systems research upon which modern databases are built
Peek behind the scenes of major online services, and learn from their architectures

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Availability

Detail Information

Series Title

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Call Number

005.7 MAR

Publisher

Beijing : O\'Reilly Media, Boston., 2017

Collation

xix, 590 pages : illustrations, charts ; 24 cm

Language

English

ISBN/ISSN

9781449-37-3320

Classification

005.7

Content Type

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Media Type

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Carrier Type

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Edition

2nd Edition

Subject(s)

1. Computer Science 2. Software Engineering 3. Dat
Data Science Information Technology

Specific Detail Info

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Statement of Responsibility

Martin Kleppmann.

Other version/related

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