Apache Storm – Taking The Big Data World By Storm

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Apache Storm Taking The Big Data World By Storm

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Apache Storm Taking The Big Data World By Storm
A tough question for organizations having
loads and lots of data piled up is how to
manage it and cull out valuable information
from it. One of the most reliable, high
performance framework recognized today is
Apache Storm. It is a known name in the
Big Data industry as a free, open source,
real time, distributed framework capable of
processing huge bulk of data. It possesses
efficient stream processing capabilities and has
a niche clientele today around the world.
The highlight of Storm is its real time
data processing computation system. Streaming
data in parallel over a cluster is the mechanism
by which it works and hence is quite fast. Taken
over by Apache a few years back, now it has risen
to be an Apache Top-Level Project (TLP). Seeing
its security, multi-tenancy support and enhanced
scalability, elite organizations like Yahoo have
adopted Storm and are happily implementing it
further. Storm is known for adding real time data
processing capabilities to Apache Hadoop 2.x, in
which it focuses on assisting Hadoop to acquire
new projects which contain low latency dashboards
and third party integration with applications
running in the Hadoop cluster. Why is Storm
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