Page 122 - Contributed Paper Session (CPS) - Volume 6

CPS1847 Shariful I.

Big Data
Md Shariful Islam
Department of Cypher, Ministry of Defense, Bangladesh

Abstract
In the information era, enormous amounts of data have become available on
hand to decision makers. Big data refers to datasets that are not only big, but
also high in variety and velocity, which makes them difficult to handle using
traditional tools and techniques. Due to the rapid growth of such data,
solutions need to be studied and provided in order to handle and extract value
and knowledge from these datasets. Furthermore, decision makers need to be
able to gain valuable insights from such varied and rapidly changing data,
ranging from daily transactions to customer interactions and social network
data. Such value can be provided using big data analytics, which is the
application of advanced analytics techniques on big data. This paper aims to
analyse some of the different analytics methods and tools which can be
applied to big data, as well as the opportunities provided by the application
of big data analytics in various decision. Big Data Analytics is a new driver of
the world economic and societal changes. The world’s data collection is
reaching a tipping point for major technological changes that can bring new
ways in decision making, managing our health, cities, finance and education.
While the data complexities are increasing including data’s volume, variety,
velocity and veracity, the real impact hinges on our ability to uncover the
`value’ in the data through Big Data Analytics technologies. Big Data Analytics
poses a grand challenge on the design of highly scalable algorithms and
systems to integrate the data and uncover large hidden values from datasets
that are diverse, complex, and of a massive scale. Potential breakthroughs
include new algorithms, methodologies, systems and applications in Big Data
Analytics that discover useful and hidden knowledge from the Big Data
efficiently and effectively.

Keywords
Batch Processing; Cassandra; Cloud Computing; NoSQL; ETL

1. Introduction
Big Data is a phrase used to mean a massive volume of both structured and
unstructured data that is so large. It is difficult to process using traditional
database and software techniques. In most enterprise scenarios the volume of
data is too big to moves fast or it exceeds current processing capacity. Besides

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