Designing Data Intensive Applications Notes

This repository serves as a collection of my own notes and summaries for studying and understanding the concepts covered in the book.

About the Book

"Designing Data-Intensive Applications" by Martin Kleppmann is a highly regarded resource for developers, engineers, and architects working with data-intensive systems. The book explores the principles, patterns, and best practices for designing and building robust, scalable, and reliable applications that process and store large volumes of data.

The book is available here.

Summaries

• Part I: Foundation of Data Systems
  • Chapter 1: Reliable, Scalable, and Maintainable Applications
  • Chapter 2: Data Models and Query Languages
  • Chapter 3: Storage and Retrieval
  • Chapter 4: Encoding and Evolution
• Part II: Distributed Data
  • Chapter 5: Replication
  • Chapter 6: Partitioning
  • Chapter 7: Transactions
  • Chapter 8: The Trouble with Distributed Systems
  • Chapter 9: Consistency and Consensus
• Part III: Derived Data
  • Chapter 10: Batch Processing
  • Chapter 11: Stream Processing
  • Chapter 12: The Future of Data Systems

Acknowledgements

I would like to express my appreciation to Martin Kleppmann for authoring "Designing Data-Intensive Applications" and sharing a wealth of knowledge with the community. My notes are derived from the concepts and ideas presented in his book.

License

The content in this repository is provided under the MIT License. You are free to use, modify, and distribute the notes for personal educational purposes.

Feedback and Support

If you have any feedback, suggestions, or questions about my personal notes, please feel free to reach out to me. Your support and encouragement are greatly appreciated.