Big Data Analysis: Challenges, Characteristics, and Techniques

History on big Data
Big Data is being used by many organisations to make their
operations more effective and organised, as it extracts data from
complex data fields. It is an analysis model which helps businesses to
review business trends and patterns. Big Data is significantly being
used by business organisations who execute on a bigger platform,
because of which the data that the company needs to work with turns
out to be humongous, and the refining of such complex data can't be
performed by traditional methodologies. Big Data helps organisation
to refine, organise, export, store and filter and present such complex
data into an understandable format.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
Big data belongs to multitudinous sources, it is a combination of
structured, unstructured and semi structured data of an organization,
its improves the operational efficiency, tailor’s solutions to the
identified problems which improves the services that are being
provided by the company and increases profits. Companies who
make a proper use of Big data, gets an extra edge in the competitive
environment as it eases, and at the same time improves decision-
making. Through this the purchasing trends of the consumers can
be analysed which helps to tailor strategies to target the segmented
group of individuals.
Characteristics of Big data
Primarily there are 6 characteristics associated with
Big Data, understanding the characteristics of Big data
is crucial as it gives a wholesome view of the
framework and its use, the following characteristics of
big data are as follows -
Velocity - refers to the data processing speed of a
company which includes receiving, storing and
managing the data, speed plays a crucial role, because
of which high velocity is preferable
The challenges of big data
analytics
Big Data is a complex technology, which faces several
challenges while execution, which needs to be dealt by a
particular solution (Guha and Kumar,2018). The
challenges faced by Big Data are as follows:
Lack of Knowledge - As the companies are shifting their
businesses online, in the process of it when they migrate
their data without having adequate knowledge opens up
the issues, the business owners needs to hire well
qualified and educated individuals with some years of
experience who can deal with these complex data
extraction, storage and presentation.
References
Elliott, V., 2018. Thinking about the coding process in
qualitative data analysis. The Qualitative
Report, 23(11), pp.2850-2861.
How Big Data technology
could support business &
Examples Big data makes the processes efficient and
efficient business processes are the key to cost reduction, it helps to
identify the inefficiencies and regulates them, Big data technologies
helps in Increasing sales and revenue by tailoring products and
services
Techniques that are currently
available to analysis big data
Data Storage – Big data technologies encompasses infrastructure to
fetch data in a managed and organised way, technology used for data
storage involves Apache Hadoop which is a JavaScript framework, for
collecting and organising bid data, it is designed to hardware difficulties
as they occur commonly (Lee and Huh, 2019). It divides computations
into multitude nodes to give effective performance. The companies that
use this software includes LinkedIn, Microsoft, IBM, Intel, etc.