Featured

Published Year: 2015
Page count: 613
File Size: 22 MB
Language: English
Published by: O'Reilly Media
Visited by: 3022
Rating/Review: 5.0
ISBN: 1449373321
9781449373320

Keywords:

آموزش برنامه‌نویسی و معماری نرم‌افزار با Code with HSN

در کانال فارسی Code with HSN تجربیات واقعی از پروژه‌های بزرگ، آموزش‌های عمیق C#، معماری میکروسرویس، CQRS، بهینه‌سازی عملکرد به زبان ساده ارائه می‌شود. اگر برنامه نویس هستی، اینجا جاییه که باید باشی.

Learn More

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

5.0

Reviews from our users

Intermediate Monolithic Architecture English

You Can Ask your questions from this book's AI after Login

Each download or ask from book AI costs 2 points. To earn more free points, please visit the Points Guide Page and complete some valuable actions.

Related Refrences:

Persian Summary

In today's fast-evolving world of technology, understanding the intricacies of data management has become essential for crafting applications that are not only robust but also scalable and maintainable. 'Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems', authored by Martin Kleppmann, serves as an essential guide for software engineers, system architects, and anyone involved in creating modern data-centric systems.

Summary of the Book

'Designing Data-Intensive Applications' delves into the core principles and technologies that govern data systems. It's structured to give readers a deep understanding of the architecture and the logic behind building data-driven applications. Kleppmann divides the book into several critical areas:

Starting with the Foundations of Data Systems, the book introduces readers to fundamental concepts such as batch and stream processing, databases, and their concurrent models. It's essentially the groundwork upon which more complex systems are built.

In Data Models and Query Languages, the book explores how information is structured and queried. It discusses various models like the relational, document, graph, and key-value paradigms, each offering unique insights into data representation.

The section on Storage and Retrieval covers key storage and indexing techniques, as well as the theory behind efficient data retrieval. It's essential reading for understanding data access patterns.

Finally, Consistency and Consensus dives into distributed systems, exploring the CAP theorem, latency, and consistency models, which are crucial for building systems that need to maintain integrity across distributed nodes.

Key Takeaways

The book offers several key insights:

Understanding Trade-offs: Modern applications require careful balance between latency, consistency, and availability. Kleppmann presents a well-rounded perspective on each.
Modern Data Concerns: Beyond traditional database models, the book takes readers through contemporary challenges like real-time data processing and hybrid cloud environments.
Theoretical and Practical Balance: While engaging deeply with the theory, the book doesn't shy away from practical advice, making it versatile for both academic and professional settings.

Famous Quotes from the Book

"If you’re designing an application, and you want it to work reliably under unpredictable conditions, you need to understand its failure modes."

Martin Kleppmann

"As engineers, we are the creators of the digital revolution."

Martin Kleppmann

Why This Book Matters

As businesses increasingly depend on data-intensive applications for crucial functions, understanding the principles laid out in this book is more relevant than ever. The concepts are timeless, guiding technology decisions in evolving landscape.

Its comprehensive coverage of distributed systems, data models, and architecture paradigms gives practitioners the tools needed to design systems that are not only efficient but also robust under failure conditions. Furthermore, it challenges readers to consider the ethical dimensions of data usage and system design, a topic increasingly important in today's privacy-focused world.

Free Direct Download

You Can Download this book after Login

Accessing books through legal platforms and public libraries not only supports the rights of authors and publishers but also contributes to the sustainability of reading culture. Before downloading, please take a moment to consider these options.

Find this book on other platforms:

WorldCat helps you find books in libraries worldwide.
See ratings, reviews, and discussions on Goodreads.
Find and buy rare or used books on AbeBooks.

Search in WorldCat Search in Goodreads Search in AbeBooks

Authors:

Martin

Martin Kleppmann

Questions about Book

merkousha

این کتاب درباره ی چیه؟

Book's Answer:

( AI as Martin Kleppmann )

کتاب *"Designing Data-Intensive Applications"* نوشته مارتین کِلِپ‌مَن درباره طراحی، پیاده‌سازی، و درک سیستم‌های داده‌محور در مقیاس بزرگ است. این کتاب به بررسی مفاهیم بنیادی برای ایجاد سیستم‌هایی می‌پردازد که قابل اعتماد، مقیاس‌پذیر، و قابل نگهداری (Maintainable) باشند.

موضوعات اصلی کتاب شامل موارد زیر می‌شود:

1. **ذخیره‌سازی داده‌ها**: بررسی پایگاه‌های داده رابطه‌ای (SQL) و غیررابطه‌ای (NoSQL) و مقایسه مدل‌های مختلف ذخیره‌سازی.
2. **مدل‌های داده و پرس‌وجو**: توضیح مفاهیمی مثل داده‌های رابطه‌ای، سندی، گراف و چگونگی استفاده از آن‌ها در برنامه‌های مختلف.
3. **پردازش داده‌ها**: بحث در مورد پردازش دسته‌ای (Batch Processing) و پردازش جریانی (Stream Processing) برای حجم عظیمی از داده‌ها.
4. **توافق و الگوریتم‌های توزیع‌شده**: بررسی الگوریتم‌هایی مانند Raft و Paxos که برای حفظ یکپارچگی و قابلیت اطمینان در محیط‌های توزیع‌شده استفاده می‌شوند.
5. **یکپارچگی داده‌ها**: چگونگی مدیریت همزمانی، سازگاری، و مشکلاتی مانند فساد داده‌ها یا خرابی سیستم.
6. **معماری سیستم‌های مقیاس‌پذیر**: چگونگی طراحی سیستم‌هایی که با رشد داده‌ها و کاربران عملکرد خود را حفظ کنند.

نویسنده در این کتاب سعی کرده اصول و ایده‌های کلیدی برای طراحی سیستم‌های داده‌محور را با زبانی ساده توضیح دهد و برای مهندسان نرم‌افزار، معماران سیستم، و حتی مدیرانی که با تکنولوژی درگیرند، موضوعات پیچیده را قابل فهم کند.

اگر سوال دیگری درباره محتوای کتاب دارید، خوشحال می‌شوم پاسخ بدهم! 😊

4022

بازدید

5.0

امتیاز

7

نظر

98%

رضایت

Reviews:

5.0

Based on 7 users review

saravanakumar5

Oct. 15, 2024, 6:18 p.m.

navid3

April 26, 2025, 5:25 p.m.

کتاب خیلی خوبیه، مطالب و دسته بندی و روند کتاب خیلی جالب و فکر شده است. خیلی روی تکنولوژی خاصی تایید نمیکنه ولی مفاهیم پایه ای رو بسیار زیبا و دقیق توضیح میده. کتاب آسون یا کوتاهی نیست. به نظرم بهتره حتما تجربه‌ی عملی داشته باشید تا بتونین بهترین بهره رو ازش ببریم.