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Designing Data-Intensive Applications Free Audiobook Download

Martin Kleppmann

Mastering the Choices for Effective Data-Intensive Application Design

4.719065ratings(GoodReaders reference)

Information

Designing Data-Intensive Applications audiobook cover

Author: Martin Kleppmann

Narrator: Brian

Format: MP3

ISBN: -

Language: English

Publish Date: 04/25/2015

Audiobook length: 31min

Designing Data-Intensive Applications Audiobook by Chapters

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Chapter 1: Reliable, Scalable and Maintainable Applications

00:0056:55

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Chapter 2: Data Models and Query Languages

00:0092:27

Chapter 3: Storage and Retrieval

00:00102:19

Chapter 4: Encoding and Evolution

00:0082:59

Chapter 5: Part II. Distributed Data

00:0008:00

Chapter 6: Replication

00:00112:10

Chapter 7: Partitioning

00:0051:32

Chapter 8: Transactions

00:00129:59

Chapter 9: The Trouble with Distributed Systems

00:00123:31

Chapter 10: Consistency and Consensus

00:00176:13

Chapter 11: Part III. Derived Data

00:0004:02

Chapter 12: Batch Processing

00:00135:37

Chapter 13: Stream Processing

00:00118:51

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Who should listen Designing Data-Intensive Applications

"Designing Data-Intensive Applications" by Martin Kleppmann is an essential listen for software engineers, data architects, and technical leaders involved in building robust data systems. If you're seeking to deepen your understanding of data models, storage systems, and the complexities of distributed architectures, this summary audiobook provides valuable insights into best practices and design principles. It is particularly beneficial for those working with big data, real-time processing, and microservices who want to enhance their knowledge of building scalable and maintainable applications.

3 quotes from Designing Data-Intensive Applications

"Data systems are often perceived as a black box; to make good design decisions, we need to understand the underlying principles that govern their behavior."
"The key challenges in building data-intensive applications include the trade-offs between consistency, availability, and partition tolerance, encapsulated in the CAP theorem."
"When designing a data-intensive application, understanding the impact of data models, storage, and retrieval mechanisms on scalability and performance is crucial."

Author : Martin Kleppmann

Martin Kleppmann is a prominent computer scientist and software engineer renowned for his expertise in distributed systems, data architectures, and scalable applications. With a strong academic background, including a PhD in Computer Science from the University of Cambridge, he has contributed significantly to the fields of databases and data-intensive applications. Kleppmann has worked with leading technology companies and has been involved in open-source projects, allowing him to merge theoretical insights with practical implementations. His acclaimed book, "Designing Data-Intensive Applications," provides a comprehensive guide to modern data-handling techniques, making complex concepts accessible to practitioners and researchers alike. Through his writing and speaking engagements, Kleppmann continues to influence and educate the next generation of developers in the intricacies of managing and leveraging data effectively in today's digital landscape.

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Home | Last Updated on2026/02/10