For a while there, working with Big Data–sorting and sifting large data sets with new tools in pursuit of surfacing meaningful angles on stored information–meant leveraging the open source Hadoop platform in on-premise fashion. Typically, enterprises deployed Hadoop in-house as a platform tool.
However, Hadoop-as-a-service, which basically refers to running Hadoop data crunches in the cloud, is a market projected to grow to $16.1 billion by 2020, according to a report from Allied Market Research. There are also many tools orbiting the Hadoop-as-a-service ecosystem that are worth taking note of.
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