Abstract:
In the current context, data and information play a vital role where data is called the new
oil. As the complexity of the world is progressing, the value given to the intelligence over
data is also becoming more significant. In the present climate, business organizations,
professionals thrive to interpret data and information as it's proven to facilitate more
realistic insights for decision making. As the requirements of stakeholders of data and
also the nature of the data is progressing to be more sophisticated, new architectural
patterns should be created to tackle the intensity of data. To completely utilize the benefit
of the concept of big data, associations need to have adaptable data models and ready to
extricate the most extreme incentive from their data environment.
With the dynamic and complex nature of the world, it is proven that the definition of the
analyzable data is changed when data analysis is not just based on structured data but it
involves different types of data which facilitate more realistic insight generation. With
the mentioned changes in the paradigm of data, new architecture call, „Data Lake‟ has
been established (Pradeep Menon Jul 6, 2017). Data Lake functions as a platform which
store data of purest way. It can be structured or unstructured. The concept takes business
analysis to a sophisticated level where it provides data users such as data scientist and
business analysts to explore data to create a more realistic hypothesis and facilitate
proactive insight generation for decision making.
However, structured data is traditionally easy to capture and understand compared to
unstructured data. Exclusively, it‟s been proven that capturing and analyzing structured
data provides a restrictive set of insight looking at the statistics of data availability in the
world (20%). Therefore, the rest of the 80% of unstructured data needs to be considered
for decision-making processes of organizational (Pradeep Menon Jul 6, 2017),
economical, socialization which is proven to generate more realistic insight. Hence it
justifies the importance of a firm solution for unstructured data processing
