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Mastering Apache Cassandra by Nishant Neeraj

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Hadoop and Cassandra

In the age of Big Data analytics, there are hardly any data-rich companies that do not want their data to be extracted, evaluated, and inferred to provide more business inside. In the past, analyzing large data sets (structured or unstructured) that span terabytes or petabytes used to be expensive and a technically challenging task to a team; distributed computing was harder to keep track of, and hardware to support this kind of infrastructure was not financially feasible to everyone.

What changed the demography completely in favor of medium and small companies are a couple of things. Hardware prices dropped down to earth. Memories and processing powers of computing units increased dramatically at the same time. Hardware on ...

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