More
the data, more the time it takes for analysis, tracking and
processing it In addition, with the current rate of growth of data
in the modern world, interpretation of data is getting complex. Even
the Structured databases,
such as emails, inventories and customer information, are piled up
for analysis. Nevertheless, in parallel, the Unstructured
data, such
as images, audios, videos and text documents, has been
growing exponentially in the recent past. The four V’s of big data
Volume (Large Scale of Data), Variety (Different forms of Data),
Velocity (Streaming Data’s Analysis) and Veracity (Uncertainty of
Data) does give a better idea about how hard it is to process data
these days. The current volumes of data that we are dealing with now
is calculated in Petabytes (1024 Terabytes) and Exabytes (1024
Petabytes). Moreover, it is said that it will soon be Zetabytes (1024
Exabytes) by the year 2020. With these much data in use, the current
applications and tools aren’t capable of optimizing appropriate
results.
Most
of the currently used tools and procedures aren’t effective in
handling this lot of data. That’s where Hadoop comes into act. It
helps in handling the humongous amount of data in a better way.
Therefore, there are lot implementing Big Data Hadoop to their
companies to get a proper analysis where they can find a better
prospects and new business opportunities. In addition, the data
analysis methods through Hadoop are capable of providing superior
potential insights.
Hadoop
provides appropriate insights for daily operations and product ideas
and development. It can process images, videos and text documents as
well. Results generated takes comparatively lesser time than the
current methods and procedures. Network monitoring and stream
analysis are additional features of Hadoop. Moreover, its average
pricing to use the cloud space for Big Data is quite an advantage in
the Industry. There are major benefits of Hadoop that can be
specified are augmented Data Speed, Data Capacity, Failure Tolerance,
Cost-Effectiveness, Flexibility and its Scalability from the cloud
storage. In short, this (Hadoop) is the future of interpretation and
processing of data, which will grow large in the days to come.
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