Cassandra. Full guide
Please sign in so that we can notify you about a reply
Just imagine what you could do if it were not for the scalability problem! Thanks to this practical leadership, you will learn how the Cassandra database management system copes with the processing of hundreds of data on data, working in several data centers and maintaining high availability. In the second edition, supplemented and covered by the Cassandra 3.0 version, you will find technical details and practical examples that will help launch this system in combat conditions.
Authors, Jeff Carpenter and Eben Hughitt, demonstrate the advantages of Cassandra non -command design, paying special attention to data modeling. If you are a developer, a database administrator or an architect who seeks to solve the scaling problem or ensure the future development of the application, then this book will help to use all the advantages in the speed and flexibility that Cassandra gives.
Description of a distributed and decentralized structure
Using the language of requests and its shell
Creating a data model and its comparison with an equivalent relational model
Development of applications using client drivers for various languages
Study of the cluster topology and data transmission methods between nodes
maintaining high cluster performance
Cassandra deployment in a local center, in the cloud and using Docker
Cassandra integration with Spark, Hadoop, Elasticsearch, Solr and Lucene
Authors, Jeff Carpenter and Eben Hughitt, demonstrate the advantages of Cassandra non -command design, paying special attention to data modeling. If you are a developer, a database administrator or an architect who seeks to solve the scaling problem or ensure the future development of the application, then this book will help to use all the advantages in the speed and flexibility that Cassandra gives.
Description of a distributed and decentralized structure
Using the language of requests and its shell
Creating a data model and its comparison with an equivalent relational model
Development of applications using client drivers for various languages
Study of the cluster topology and data transmission methods between nodes
maintaining high cluster performance
Cassandra deployment in a local center, in the cloud and using Docker
Cassandra integration with Spark, Hadoop, Elasticsearch, Solr and Lucene
Author:
Author:Carpenter Jeff
Cover:
Cover:Soft
Category:
- Category:Business & Money
- Category:Motivation & Success
ISBN:
ISBN:978-5-97060-453-3
No reviews found