BIG DATA VS HADOOP: Who Will Win?

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Big data is the concept which deals with the
problems of data handling of a large volume of
data. This concept plays a very important role in
data analysis and handling data in an
organization where a huge volume of data is
required to be stored, handled properly for the
analysis that could make the organizations able
to plan their strategies more efficiently and
this could help an organization to generate more
profit.
Handling of Big Data The huge amount of data
which is handled and analyzed by the concept of
Big data is the data that has been generated by
the sales, production, and marketing done by a
company in a month or a specific time period and
if data is handled by the concept of Big data
than this could be very beneficial for their
business. For example, through the business
process of a company there might be a need to
put a lot of work into collecting thousands of
pieces of data on purchases in currency formats,
on customer identities like name or their ID
number allotted by the government, or on product
information that what model number has been
bought by them. All of this, or any other large
amount of information, is known as Big data.
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Basically, its a raw and unsorted type of data
until it is processed through an appropriate
tool or software. Hadoop is a major solution to
the problem of the big data. Hadoop is one of
the tools designed to handle the big data in a
very systematic manner. Solve the Big data
Problem with Hadoop Hadoop works on big data in a
predefined manner and gives the result by
processing the data through the help of
algorithms and methods. Hadoop is a very useful
tool or software that provides with various
components which make the work more
efficient. MapReduce in Hadoop Hadoop includes
the feature of MapReduce and Hadoop Distributed
File System (HDFS). Both these features are very
useful and work in their own way to make your
work easy. MapReduce firstly maps a large amount
of data and then reduce it to a small amount of
content for specific results, this basically
works as a filtering process of the raw
material. HDFS System in Hadoop HDFS system is
then used to distribute the data over a network.
Thus, the big data professionals can use the
features of Hadoop to analyze the big data
properly and this can also provide them the best
results for their business strategies. Working of
Hadoop Hadoop works on a large amount of data in
a way in which the data is processed in small
packets or blocks and all the blocks are of the
same size of 128MB starting from the first block
to the second last block whereas the last block
is of the comparatively small size of 6MB. These
small packets contain the information of data
within them and now they can be easily
analyzed. Advantage of Hadoop As the Big data is
of huge volume, fast velocity, and different
variety information or set of data that requires
a special platform and techniques through which
it could be handled and analyzed. Hadoop
provides a great advantage over the traditional
way of data handling as this software has
various components and features which makes it
very easy and beneficial for professionals of
data handling to handle and manage a large
amount of sorted and raw data to make it a simple
and approachable data
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that could be further used by the professionals
for the betterment of working of their
organization. Hence, Hadoop can easily handle Big
Data and is a better way of handling and managing
big data. Learn Hadoop with Madrid Solutions We
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