ScyllaDB in Action

ScyllaDB in Action

eBook Details:

  • Paperback: 392 pages
  • Publisher: WOW! eBook (October 29, 2024)
  • Language: English
  • ISBN-10: 1633437264
  • ISBN-13: 978-1633437265

eBook Description:

ScyllaDB in Action: Build, maintain, and run databases that are easy to scale and quick to query all with ScyllaDB.

ScyllaDB in Action is your guide to everything you need to know about ScyllaDB, from your very first queries to running it in a production environment. It starts you with the basics of creating, reading, and deleting data and expands your knowledge from there. You’ll soon have mastered everything you need to build, maintain, and run an effective and efficient database.

Inside ScyllaDB in Action you’ll learn how to:

  • Read, write, and delete data in ScyllaDB
  • Design database schemas for ScyllaDB
  • Write performant queries against ScyllaDB
  • Connect and query a ScyllaDB cluster from an application
  • Configure, monitor, and operate ScyllaDB in production

This book teaches you ScyllaDB the best way through hands-on examples. Dive into the node-based architecture of ScyllaDB to understand how its distributed systems work, how you can troubleshoot problems, and how you can constantly improve performance.

ScyllaDB is a versatile NoSQL database that can move large volumes of data fast. Very, very, very fast. This drop-in replacement for Cassandra takes full advantage of modern multi-core hardware and scales to handle large real-time data workloads with incredibly low latency. It features built-in monitoring and management tools, and its efficient use of computing resources can save a lot of money on high-volume applications.

ScyllaDB in Action demonstrates how to integrate ScyllaDB into data-intensive applications. You’ll work through a hands-on project step by step as you use ScyllaDB to store data and learn to configure, monitor, and safely operate a distributed database. Along the way, you’ll discover how ScyllaDB’s unique “shard per core” approach helps you deliver impressive performance in real-time systems.

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