decision-making’ is something that is widely recognized now a days, and `Big
Data’ is on the highest level in the list, for running these types of
decision-making processes. Big data can be developed from multiple sources, and
it can have multiple formats too. It is nothing but a high-volume,
high-velocity and high-variety information assets but it demands innovative
forms of information processing that is cost-effective, but results in insight betterment,
easy decision-making, and in short make the whole process automatic.
Although big data has
got a lot of potentials to examine large volumes of data in order to uncover
hidden patterns, correlations and other insights, using big data has got a lot
many challenges too that are related to data acquisition, process, storage,
management and also analysis. Generally big data is unstructured data, unlike structured
traditional data in its characteristics of huge-volume, high velocity and also high-variety
of sources and also for the need that it has to be integrated finally for an analysis.
Analytical systems and traditional data management are based on relational and
structured database systems. Those systems are not designed for the huge volume
and heterogeneity of big data.
Technical Institutions are
operating in an increasingly complex and competitive environment. This paper
identifies contemporary challenges being faced in technical institutions globally
and describes the potential of Big Data in defining these challenges. The paper
then explores a number of opportunities and challenges associated with the
implementation of Big Data in the context of higher education at global level.
Our research paper
summaries the opportunities and challenges of using big data in the technical
colleges of higher education.
The paper concludes by
outlining future directions relating to the development and implementation of
an institutional project on Big Data.