Coder Social home page Coder Social logo

database-internals-notes's Introduction

Database Internals - Notes

What is this?

This repository contains my notes from reading Database Internals by Alex Petrov, as part of a Book Reading Club organised by Phil Eaton.

Table of Contents

What can you expect from this repository?

  1. We plan on reading a chapter per week. I will try my best to update this repository with my notes from the chapter every week. ETA: Sunday midnight IST for any given week.
  2. I will try to keep the notes as concise as possible, while also trying to cover all the important points.
  3. You can expect to find some additional information that I found interesting, or some side learning that I did while reading the chapter. I'd put them with a ✨ Side learning label. These are not in the book, not in that chapter atleast.
  4. You can expect to find my most interesting takeaways from the chapter with a 🤯 label.
  5. You can expect a 1:1 mapping of the chapter with the notes. I will try to keep the notes in the same order as the chapter.

For each chapter notes, you can also expect:

  1. My unanswered questions from the chapter. I will add a direct mailto link to my email address, so that you can answer them if you know the answer. If you are not sure, you can still drop me an email and I'd be happy to discuss it.
  2. As and when I find answers to my unanswered questions, I will update the notes with the answers.
  3. Some other things to read about, if you are interested in the topic. This is extremely subjective, so you might not find it useful. But I'd still add it, just in case.
  4. Reading group discussion: I will try to add some interesting points that came up during the reading group discussion. This is also extremely subjective, so you might not find it useful. But I'd still add it, just in case. I aim to add these when I am updating the notes for the next chapter.

What should you NOT expect from this repository?

This is NOT a replacement for the book. This is just my notes from the book. I'd highly recommend reading the book yourself and use this repository as a supplement / future reference.

No amount of short notes can justify the amount of knowledge that the book contains, so would highly encourage you to read the book yourself.

Motivation

Well, my motivation is to just learn more about databases. I have been working with databases for a while now, and I have always been curious about how they work under the hood. This book is a great way to learn about that.

Feynman Technique: The more you teach others, the better you learn.

Also, hopefully future Akshat would find this useful, and would be able to refer to these notes.

Feedback

If you have any feedback on any part of it, please feel free to ping me on Twitter at @AkJn99, or drop me an email at [email protected].

Future of this repository

I eventually plan on creating a website with the same contents when I have some bandwidth, just for easier access. But for now, I'd just be updating this repository.

database-internals-notes's People

Contributors

akshat-jain avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.