You're reading from System Design Guide for Software Professionals Build scalable solutions – from fundamental concepts to cracking top tech company interviews

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781805124993

Length 384 pages

Edition 1st Edition

Concepts

Application Development

Authors (2):

Dhirendra Sinha

Tejas Chopra

View More author details

Table of Contents (21) Chapters

Preface

1. Part 1: Foundations of System Design

2. Chapter 1: Basics of System Design FREE CHAPTER

3. Chapter 2: Distributed System Attributes

4. Chapter 3: Distributed Systems Theorems and Data Structures

5. Part 2: Core Components of Distributed Systems

6. Chapter 4: Distributed Systems Building Blocks: DNS, Load Balancers, and Application Gateways

7. Chapter 5: Design and Implementation of System Components –Databases and Storage

8. Chapter 6: Distributed Cache

9. Chapter 7: Pub/Sub and Distributed Queues

10. Part 3: System Design in Practice

11. Chapter 8: Design and Implementation of System Components: API, Security, and Metrics

12. Chapter 9: System Design – URL Shortener

13. Chapter 10: System Design – Proximity Service

14. Chapter 11: Designing a Service Like Twitter

15. Chapter 12: Designing a Service Like Instagram

16. Chapter 13: Designing a Service Like Google Docs

17. Chapter 14: Designing a Service Like Netflix

18. Chapter 15: Tips for Interviewees

19. Chapter 16: System Design Cheat Sheet

20. Index

Graph-based databases

Graph-based databases are a type of NoSQL database designed specifically to manage and store data with complex and interconnected relationships. They are well-suited for applications that require the modeling and querying of data in a way that reflects the relationships between various entities. These databases use graph structures to represent data and the connections between data points, making them highly efficient for traversing and querying complex relationships. Neo4j is one of the most well-known and widely used graph-based NoSQL databases.

Here are some key characteristics and concepts of graph-based NoSQL databases:

Graph structure: Data in graph-based NoSQL databases is organized in the form of nodes and edges, creating a graph structure. Nodes represent entities (such as people, products, or locations), and edges represent the relationships between these entities.
Nodes: Nodes are the fundamental units of data in a graph. Each node can...