Foreword by Paul Dix
Cassandra is quickly becoming one of the backbone components for anyone working with large datasets and real-time analytics. Its ability to scale horizontally to handle hundreds of thousands (or millions) of writes per second makes it a great choice for high-volume systems that must also be highly available. That’s why I’m very pleased that this book is the first in the series to cover a key infrastructural component for the Addison-Wesley Data & Analytics Series: the data storage layer.
In 2011, I was making my second foray into working with Cassandra to create a high-volume, scalable time series data store. At the time, Cassandra 0.8 had been released, and the path to 1.0 was fairly clear, but the available literature was ...
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