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System Design Guide for Software Professionals

System Design Guide for Software Professionals

By : Dhirendra Sinha, Tejas Chopra
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System Design Guide for Software Professionals

System Design Guide for Software Professionals

By: Dhirendra Sinha, Tejas Chopra

Overview of this book

Building scalable software systems is more critical than ever. Yet, many software professionals struggle to navigate the complexities of system design, especially when aiming for positions at top tech companies. Written by Dhirendra Sinha, a seasoned Engineering Leader at Google with a blend of experience working at large companies such as Cisco, Oracle, and Yahoo, and Tejas Chopra, a Senior Software Engineer at Netflix, a TEDx speaker, and a Co-Founder of GoEB1, this comprehensive and authoritative resource on system design offers invaluable insights and strategies to help you excel in interviews with all major tech companies. This guide covers the basics of system design, including the principles and techniques of distributed systems, and delves into core building blocks such as distributed system theorems, attributes, and the design and implementation of system components. Following examples of popular applications such as Uber, Twitter, Instagram, Google Docs, and Netflix, you’ll learn how to apply concepts to real-world scenarios. The book offers expert advice and strategies for preparing and acing system design interviews, along with a mind map/cheat sheet summarizing the key takeaways. By the end of this book, you’ll be equipped with unique techniques and the confidence to solve any coding interview question.
Table of Contents (21 chapters)
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Lock Free Chapter
1
Part 1: Foundations of System Design
5
Part 2: Core Components of Distributed Systems
10
Part 3: System Design in Practice

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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System Design Guide for Software Professionals
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