avatarNaina Chaturvedi

Summary

The provided content outlines a comprehensive collection of system design case studies, data structures and algorithms tutorials, and various project series in the fields of data science, machine learning, and software engineering, along with resources for tech interviews and coding practices.

Abstract

The web content presents a curated list of educational resources for technology enthusiasts and professionals. It includes a summary of solved system design case studies for platforms like Tinder, TikTok, Twitter, and Dropbox, among others. The repository also features detailed guides on system design basics, a solution template for building large systems, and a complete series on data structures and algorithms. Additionally, the content promotes a GitHub repository with all the necessary materials to master system design, data science, and machine learning projects. The author, Naina Chaturvedi, encourages readers to engage with the content, subscribe to the newly launched YouTube channel "Ignito," and join a tech newsletter for interview tips and project ideas. The content is enriched with links to in-depth articles, coding exercises, and best practices in the tech industry.

Opinions

  • The author emphasizes the importance of a solid foundation in system design basics before tackling case studies.
  • There is a strong suggestion to follow the provided system design solution template to approach any system design question effectively.
  • The content positions the GitHub repository as a one-stop-shop for learning data structures, algorithms, and system design.
  • The author believes in the practical application of knowledge, as evidenced by the inclusion of implemented projects in various domains such as data visualization, data mining, and natural language processing.
  • The author values community engagement and continuous learning, as indicated by the invitation to subscribe to the YouTube channel and join the tech newsletter for ongoing updates and discussions.
  • There is an opinion that the provided resources can serve as a comprehensive learning path for those looking to break into or advance in the field of technology.

Solved System Design Case Studies : Quick RoundUp

Connect the dots…

Pic copyright and credits : Naina Chaturvedi

Welcome back peeps. Its a nice weekend and I hope everything is going great.

This post is the summary of Solved System Design Case Studies that we have covered so far.

Projects Videos —

All the projects, data structures, SQL, algorithms, system design, Data Science and ML , Data Analytics, Data Engineering, , Implemented Data Science and ML projects, Implemented Data Engineering Projects, Implemented Deep Learning Projects, Implemented Machine Learning Ops Projects, Implemented Time Series Analysis and Forecasting Projects, Implemented Applied Machine Learning Projects, Implemented Tensorflow and Keras Projects, Implemented PyTorch Projects, Implemented Scikit Learn Projects, Implemented Big Data Projects, Implemented Cloud Machine Learning Projects, Implemented Neural Networks Projects, Implemented OpenCV Projects,Complete ML Research Papers Summarized, Implemented Data Analytics projects, Implemented Data Visualization Projects, Implemented Data Mining Projects, Implemented Natural Leaning Processing Projects, MLOps and Deep Learning, Applied Machine Learning with Projects Series, PyTorch with Projects Series, Tensorflow and Keras with Projects Series, Scikit Learn Series with Projects, Time Series Analysis and Forecasting with Projects Series, ML System Design Case Studies Series videos will be published on our youtube channel ( just launched).

Subscribe today!

System Design Case Studies — In Depth

Design Tinder

Design TikTok

Design Twitter

Design URL Shortener

Design Dropbox

Design Youtube

Design API Rate Limiter

Design Web Crawler

Design Facebook’s Newsfeed

Design Yelp

Design Instagram

Design Messenger App

Design Uber

Most Popular System Design Questions

Mega Compilation : Solved System Design Case studies

Complete Data Structures and Algorithm Series

Complexity Analysis

Sliding Window

Backtracking

Greedy Technique

Two pointer Technique

1- D Dynamic Programming

Divide and Conquer Technique

Recursion

Github —

Let’s dive in!

1. Complete System Design Basics

Before you start working on the case studies, build a solid foundation for System Design Basics

1. System design basics

2. Horizontal and vertical scaling

3. Load balancing and Message queues

4. High level design and low level design, Consistent Hashing, Monolithic and Microservices architecture

5. Caching, Indexing, Proxies

6. Networking, How Browsers work, Content Network Delivery ( CDN)

7. Database Sharding, CAP Theorem, Database schema Design

8. Concurrency, API, Components + OOP + Abstraction

9. Estimation and Planning, Performance

10. Map Reduce, Patterns and Microservices

11. SQL vs NoSQL and Cloud

12. Most Popular System Design Questions

13. System Design Template — How to solve any System Design Question

2. System Design Solution Template

How to build large systems?

Approach that you should take to solve any System Design Questions

System Design Solution Template

3. System Design Case studies ( Complete Solution)

We have covered below case studies till now and some more to come.

Design Facebook’s Newsfeed

Points Covered — Facebook Feed

  • What is Facebook Feed
  • Important Features
  • Scaling Requirements
  • Data Model — ER requirements
  • High Level Design
  • API Design
  • Complete Detailed Design

Design Yelp

Points Covered — Yelp

  • What is Yelp
  • Important Features
  • Scaling Requirements
  • Data Model — ER requirements
  • High Level Design
  • API Design
  • Complete Detailed Design

Design Uber

Points Covered — Uber

  • What is Uber
  • Important Features
  • Scaling Requirements
  • Data Model — ER requirements
  • High Level Design
  • API Design
  • Complete Detailed Design

Design Tinder

Points Covered — Tinder

  • What is Tinder
  • Important Features
  • Scaling Requirements
  • Data Model — ER requirements
  • High Level Design
  • API Design
  • Complete Detailed Design

Design Tiktok

Points Covered — Tiktok

  • What is Tiktok
  • Important Features
  • Scaling Requirements
  • Data Model — ER requirements
  • High Level Design
  • API Design
  • Complete Detailed Design

Design Whatsapp

Points Covered — Whatsapp

  • What is Whatsapp
  • Important Features
  • Scaling Requirements
  • Data Model — ER requirements
  • High Level Design
  • API Design
  • Complete Detailed Design

Design Instagram

Points covered — Design Instagram

  • What is Instagram
  • Important Features
  • Scaling Requirements — Capacity Estimation
  • Data Model — ER requirements
  • High Level Design
  • API Design
  • Complete Detailed Design

Design Messenger App

Points Covered — Design Messenger App

  • What is Messenger App
  • Important Features
  • Scaling Requirements — Capacity Estimation
  • Data Model — ER requirements
  • High Level Design
  • API Design
  • Complete Detailed Design

Design Twitter

Points Covered — Design Twitter

  • What is Twitter
  • Important Features
  • Scaling Requirements — Capacity Estimation
  • Data Model — ER requirements
  • High Level Design
  • API Design
  • Complete Detailed Design

Design URL Shortener

Points Covered — Design URL shortener

  • What is URL shortener
  • Important Features
  • Scaling Requirements — Capacity Estimation
  • Data Model — ER requirements
  • High Level Design
  • API Design
  • Complete Detailed Design

Design Dropbox

Points Covered — Design Dropbox

  • What is Dropbox
  • Important Features
  • Scaling Requirements — Capacity Estimation
  • Data Model — ER requirements
  • High Level Design
  • API Design
  • Complete Detailed Design

Design Youtube

Points Covered — Design Youtube

  • What is Youtube
  • Important Features
  • Scaling Requirements
  • Data Model — ER requirements
  • High Level Design
  • API Design
  • Complete Detailed Design

Design API Rate Limiter

Points Covered — API Rate Limiter

  • What is API Rate Limiter
  • Important Features
  • Scaling Requirements
  • Data Model — ER requirements
  • High Level Design
  • API Design
  • Complete Detailed Design

Design Web Crawler

Points Covered — Web Crawler

  • What is Web Crawler
  • Important Features
  • Scaling Requirements
  • Data Model — ER requirements
  • High Level Design
  • API Design
  • Complete Detailed Design

Follow Github —

In the next part of Complete System Design Case Studies we will see how to Design the Reddit.

Let me know if you have any questions in the comment section below. Subscribe/ Follow, Like/Clap and Stay Tuned!!

Some of the other best Series —

60 days of Data Science and ML Series with projects

30 Days of Natural Language Processing ( NLP) Series

30 days of Machine Learning Ops

30 days of Data Structures and Algorithms and System Design Simplified

60 Days of Deep Learning with Projects Series

30 days of Data Engineering with projects Series

Data Science and Machine Learning Research ( papers) Simplified **

100 days : Your Data Science and Machine Learning Degree Series with projects

23 Data Science Techniques You Should Know

Tech Interview Series — Curated List of coding questions

Complete System Design with most popular Questions Series

Complete Data Visualization and Pre-processing Series with projects

Complete Python Series with Projects

Complete Advanced Python Series with Projects

Kaggle Best Notebooks that will teach you the most

Complete Developers Guide to Git

Exceptional Github Repos — Part 1

Exceptional Github Repos — Part 2

All the Data Science and Machine Learning Resources

210 Machine Learning Projects

Tech Newsletter —

If you are interested, you can join my newsletter through which I send tech interview tips, techniques, patterns, hacks — Software Development, ML, Data Science, Startups and Technology projects to more than 30K readers. You can subscribe to Tech Brew :

For Python Projects —

For complete 60 days of Data Science and ML : Day 1 — Day 60 : Quick Recap of 60 days of Data Science and ML

Follow for more updates. Stay tuned and keep coding!

For other projects, tune to —

Build Machine Learning Pipelines( With Code)

Recurrent Neural Network with Keras

Clustering Geolocation Data in Python using DBSCAN and K-Means

Facial Expression Recognition using Keras

Hyperparameter Tuning with Keras Tuner

Custom Layers in Keras

Tech
Programming
Machine Learning
Data Science
Software Development
Recommended from ReadMedium