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Mastering Apache Cassandra 3.x
Mastering Apache Cassandra 3.x

Mastering Apache Cassandra 3.x: An expert guide to improving database scalability and availability without compromising performance , Third Edition

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Mastering Apache Cassandra 3.x

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Key benefits

  • Write programs more efficiently using Cassandra's features with the help of examples
  • Configure Cassandra and fine-tune its parameters depending on your needs
  • Integrate Cassandra database with Apache Spark and build strong data analytics pipeline

Description

With ever-increasing rates of data creation, the demand for storing data fast and reliably becomes a need. Apache Cassandra is the perfect choice for building fault-tolerant and scalable databases. Mastering Apache Cassandra 3.x teaches you how to build and architect your clusters, configure and work with your nodes, and program in a high-throughput environment, helping you understand the power of Cassandra as per the new features. Once you’ve covered a brief recap of the basics, you’ll move on to deploying and monitoring a production setup and optimizing and integrating it with other software. You’ll work with the advanced features of CQL and the new storage engine in order to understand how they function on the server-side. You’ll explore the integration and interaction of Cassandra components, followed by discovering features such as token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail. Last but not least you will get to grips with Apache Spark. By the end of this book, you’ll be able to analyse big data, and build and manage high-performance databases for your application.

Who is this book for?

Mastering Apache Cassandra 3.x is for you if you are a big data administrator, database administrator, architect, or developer who wants to build a high-performing, scalable, and fault-tolerant database. Prior knowledge of core concepts of databases is required.

What you will learn

  • Write programs more efficiently using Cassandra s features more efficiently
  • Exploit the given infrastructure, improve performance, and tweak the Java Virtual Machine (JVM)
  • Use CQL3 in your application in order to simplify working with Cassandra
  • Configure Cassandra and fine-tune its parameters depending on your needs
  • Set up a cluster and learn how to scale it
  • Monitor a Cassandra cluster in different ways
  • Use Apache Spark and other big data processing tools

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 31, 2018
Length: 348 pages
Edition : 3rd
Language : English
ISBN-13 : 9781789132809
Vendor :
Apache
Category :
Languages :
Tools :

What do you get with eBook?

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Product Details

Publication date : Oct 31, 2018
Length: 348 pages
Edition : 3rd
Language : English
ISBN-13 : 9781789132809
Vendor :
Apache
Category :
Languages :
Tools :

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Frequently bought together


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Total 99.97
Cassandra 3.x High Availability
€29.99
Learning Apache Cassandra
€36.99
Mastering Apache Cassandra 3.x
€32.99
Total 99.97 Stars icon
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Table of Contents

11 Chapters
Quick Start Chevron down icon Chevron up icon
Cassandra Architecture Chevron down icon Chevron up icon
Effective CQL Chevron down icon Chevron up icon
Configuring a Cluster Chevron down icon Chevron up icon
Performance Tuning Chevron down icon Chevron up icon
Managing a Cluster Chevron down icon Chevron up icon
Monitoring Chevron down icon Chevron up icon
Application Development Chevron down icon Chevron up icon
Integration with Apache Spark Chevron down icon Chevron up icon
References Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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(2 Ratings)
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1 star 0%
Placeholder Nov 11, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Concepts were really depth along with metrics and spark integration for docker was really cool
Amazon Verified review Amazon
Tasmaniedemon Nov 30, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Tres bon livre sur le sujet C*
Amazon Verified review Amazon
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