9781492040347-1492040347-Database Internals: A Deep Dive into How Distributed Data Systems Work

Database Internals: A Deep Dive into How Distributed Data Systems Work

ISBN-13: 9781492040347
ISBN-10: 1492040347
Edition: 1
Author: Alex Petrov
Publication date: 2019
Publisher: O'Reilly Media
Format: Paperback 376 pages
Category: Database
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Book details

ISBN-13: 9781492040347
ISBN-10: 1492040347
Edition: 1
Author: Alex Petrov
Publication date: 2019
Publisher: O'Reilly Media
Format: Paperback 376 pages
Category: Database

Summary

Acknowledged authors Alex Petrov wrote Database Internals: A Deep Dive into How Distributed Data Systems Work comprising 376 pages back in 2019. Textbook and eTextbook are published under ISBN 1492040347 and 9781492040347. Since then Database Internals: A Deep Dive into How Distributed Data Systems Work textbook was available to sell back to BooksRun online for the top buyback price of $ 15.57 or rent at the marketplace.

Description

When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.

Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed.

This book examines:

  • Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each
  • Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log
  • Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns
  • Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency
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