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Mastering Apache Cassandra 3.x, Third Edition

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关注 过往记忆大数据 微信公众号,回复 8524 获取本书下载地址。

子标题:An expert guide to improving database scalability and availability without compromising performance, 3rd Edition

Mastering Apache Cassandra 3.x, Third Edition
作者:
Aaron Ploetz
ISBN-10:
978-1789131499
出版年份:
2018
页数:
348
语言:
English
文件大小:
12 MB
文件格式:
ePub

图书描述

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.

子标题:An expert guide to improving database scalability and availability without compromising performance, 3rd Edition

Mastering Apache Cassandra 3.x, Third Edition
作者:
Aaron Ploetz
ISBN-10:
978-1789131499
出版年份:
2018
页数:
348
语言:
English
文件大小:
12 MB
文件格式:
ePub

图书描述

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.

子标题:An expert guide to improving database scalability and availability without compromising performance, 3rd Edition

Mastering Apache Cassandra 3.x, Third Edition
作者:
Aaron Ploetz
ISBN-10:
978-1789131499
出版年份:
2018
页数:
348
语言:
English
文件大小:
12 MB
文件格式:
ePub

图书描述

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.

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