Access Control Challenges and Approaches for Securing Big Data

Access Control Challenges
and Approaches for Securing
Big Data

Table of Contents
Introduction......................................................................................................................................1
Main Body.......................................................................................................................................1
Conclusion.......................................................................................................................................6
References........................................................................................................................................8

Introduction
Big data refers to term that is being utilised for describing collection of data which is
large in volume and is growing rapidly. Basically, it illustrates diverse set of data which grows at
increasing rates (Akhuseyinoglu, and Joshi, 2020). This comprises of speed or velocity of data at
which this created, its volume and scope at which data is being created. It is a field that is liable
for analysing systematic information from data sets which are complex to be handled through
usage of traditional data processing applications.
Main Body
Big data is defined as description of huge amount of data which is both structured as well
as unstructured and inundates business on every day approaches. Big data is liable for assisting
organisation within creation of new growth opportunities along with categories of firms that are
liable for combining as well as analysis of industry data. These firms comprises of ample of
information related with products & services, buyers & suppliers and preferences of customers
which can be captured as well as analysed. Structured data comprises of information that is
already managed via organisation within databases as well as spreadsheets which is usually in
numeric within nature. In case of unstructured data, information is being in unorganised form
which does not fall within pre-determined format or model (Al-Abassi and et. al, 2020). This
comprises of data that is gathered via social media sources that aids institutes to collect data from
needs of the customers. Big data is being gathered via publically shared comments that are being
made on social networks or any other websites, product purchase, apps, questionnaires and
electronic check-ins that are being made.
Big data analytics refers to process that is utilised for extraction of meaningful insights
like unknown correlations, hidden patterns, customer preferences and market trends. This aids
within ensuring that decision making is carried out in an enhanced manner so that any kind of
fraudulent activities can be avoided. For an instance the Phillippine banking firm Banco de Oro
makes use of Big data analytics for identification of discrepancies. Starbucks have opted for big
data analytics for making up strategic decisions like they leverage this to identify whether
peculiar location will be apt for starting a new venture or not (Awaysheh and et. al, 2020). Here,
different parameters are being analysed that involves accessibility to location, demographics,
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