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System Design Guide for Software Professionals

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

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781805124993
Length 384 pages
Edition 1st Edition
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Authors (2):
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Dhirendra Sinha Dhirendra Sinha
Author Profile Icon Dhirendra Sinha
Dhirendra Sinha
Tejas Chopra Tejas Chopra
Author Profile Icon Tejas Chopra
Tejas Chopra
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Toc

Table of Contents (21) Chapters Close

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...
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