The Big Data / Fast Data Gap

The text outlines the roles of Apache Hadoop, Apache Storm, and Couchbase Server in handling big data, fast data, and the combination of volume, velocity, and variety, respectively. Apache Hadoop is compared to a warehouse efficient for storing large data sets for analytics, while Apache Storm acts like a conveyor belt, processing data streams in motion. Couchbase Server is presented as a solution bridging the gap between the two, efficiently managing data through its NoSQL capabilities. Three real-time big data architectures are proposed, each involving different interactions between these technologies, demonstrating the flexibility and customization available to architects when designing efficient data processing solutions. The text emphasizes the creative aspect of building these architectures, likening it to assembling Lego pieces, and highlights examples of companies successfully utilizing these technologies.

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