Spark is a powerful, open source, general-purpose, unified cluster-computing analytics framework for large-scale data-processing. It's known for high performance, in-memory processing with an efficient engine and query optimizer. The four most widely-used interpreters for Spark are Python, Scala, Java, and R, including their interactive CLI. Spark is built on a foundation of Resilient Distributed Dataset (RDD) spread across the cluster of nodes. This eliminates computational limitations due to a cap of maximum resources that can be on a single machine, theoretically making it an infinitely scalable system. With all this, it is no surprise that it is the largest open source project in the data-processing community. Refer to Apache Spark docs for further information at Spark-Spark Overview: http://spark.apache.org/docs/2.3.1/.
Mastering Apache Cassandra 3.x - Third Edition
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Mastering Apache Cassandra 3.x - Third Edition
By:
Overview of this book
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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Current Title:
Mastering Apache Cassandra 3.x - Third Edition
Table of Contents (12 chapters)
Preface
Free Chapter
Quick Start
Cassandra Architecture
Effective CQL
Configuring a Cluster
Performance Tuning
Managing a Cluster
Monitoring
Application Development
Integration with Apache Spark
References
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