Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems PDF is a book by Martin Kleppmann, published in 2017. The book covers a wide range of topics related to the design and implementation of data-intensive applications, including data storage and retrieval, data processing, data modeling, and data replication.
Some of the key themes of the book include the importance of data consistency and reliability, the trade-offs between different data storage and processing systems, and the challenges of building and maintaining large-scale data systems.
The book has received positive reviews, with many praising its comprehensive coverage of the subject matter and its clear and accessible writing style. Critics have noted that the book is highly technical and may be challenging for readers without a strong background in computer science or a related field. The book is available in various formats including, Hardcover, Paperback, Kindle, and Audible.
Table of Contents
Designing Data-Intensive Applications Summary
The first section covers the basics of data storage and retrieval, including the trade-offs between different storage systems such as relational databases, key-value stores, and column-family stores. The section also covers the basics of data retrieval such as indexing, search, and query optimization.
The second section covers data processing, including the basics of data processing such as batch processing and stream processing. The section also covers the trade-offs between different processing systems such as MapReduce, batch processing, and stream processing.
The third section covers data modeling and replication, including the basics of data modeling such as data modeling techniques and data modeling languages. The section also covers the trade-offs between different replication techniques such as master-slave replication, leaderless replication, and peer-to-peer replication.
Details of Designing Data-Intensive Applications Book
| Book | Designing Data-Intensive Applications |
| Author | Martin Kleppmann |
| Original language | English |
| Originally published | 2017 |
| Category | Computers |
| Publisher | O'Reilly Media, Inc |
| Total Pages | 616 |
| Format | PDF, ePub |
Multiple Languages Editions of Designing Data-Intensive Applications Book
Designing Data-Intensive Applications is available in the English language edition. As of now, I don’t have the information on any other languages edition of this book.
| Book Editions | Check Now |
|---|---|
| English | Check Price |
About the Author
Martin Kleppmann is the author of Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. He is a computer scientist and software engineer with a background in distributed systems and data management.
Martin Kleppmann is a researcher at the University of Cambridge, where he focuses on distributed systems, data management, and data-intensive applications. He has also worked as a software engineer at companies such as LinkedIn, where he was involved in the development of real-time data processing systems.
Martin Kleppmann is a well-known speaker and writer in the field of data management and distributed systems and has given talks and written articles on topics such as data consistency, data replication, and stream processing. He is also the author of the O’Reilly book, “Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing” which was published in 2019.
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FAQs(Frequently Asked Questions)
Is Designing Data-Intensive Applications a good book?
Designing Data-Intensive Applications is considered a good book by many readers and experts in the field.
How many pages are the Designing Data-Intensive Applications book?
The Designing Data-Intensive Applications book is approximately 500 pages.
How long does it take to read the Designing Data-Intensive Applications book?
The time it takes to read the book would vary depending on the reader’s pace and familiarity with the subject matter.
Who is the main target audience of the Designing Data-Intensive Applications book?
The main target audience of the Designing Data-Intensive Applications book is software engineers, developers, data scientists, and architects working on data-intensive systems.
