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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

HBase

Apache HBase is an open-source, distributed, and scalable NoSQL database management system that is designed to handle large volumes of data with high read and write throughput. It is built on top of the Hadoop Distributed File System (HDFS) and was inspired by Google Bigtable. HBase is known for its ability to provide random and real-time access to massive amounts of structured data, making it suitable for applications with high data requirements, such as those found in big data and distributed computing ecosystems.

In short, in HBase, the following applies:

  • A table is a collection of rows
  • A row is a collection of column families
  • A column family is a collection of columns
  • A column is a collection of key-value pairs

The key features and characteristics of Apache HBase include the following:

  • Distributed and scalable: HBase is designed to run on clusters of commodity hardware, and it offers horizontal scalability. It can handle the storage and...
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