This book discusses the art of
Big Data and related technologies using by a few multinational companies and
software they use such as Hadoop, Hive with collective intelligence to grow
their business. The book also focuses on the phases of the value chain of big
data generation, data analysis and data storage. Many businesses have been
digitalised by different innovations of technologies. Online Retailers could
track what customers bought, what they looked at during window shopping, and how
they
navigate the products through the websites of the retailers.
The use of Big Data has the
potential to transform traditional businesses by offering them the competitive
advantage of online shopping. The concept of Big Data, its challenges, and how
its analytics strengthen market competition and open business opportunities for
many organisations including Governments with modern software for quality big
data
analytics. Data Analysis is helpful to forecast the progress of the business in
future.
Characteristics of big data can be categorised into three: velocity, volume and
variety. An information system is a method that comprises a set of components
created to collect, store, process and distribute information by using software,
and hardware systems. The computer age has introduced a new element of the
transaction such as the Transaction Process System (TPS) for business
information; the Universities recognise this as an information system that deals
with a new way of collecting information, using the Knowledge Management System
(KMS). Big Data storage is
known as an emergency of Big Data with modern-day technologies.
A broader definition of Big Data is similar but many writers defined it in
different ways. How software engineers are supporting the business activities of
the organisations. Big Data help organisations and individuals to make the right
decisions at the right time. Data can be monetised to boost the revenue of the
business and secure the information of the organisation in the right place.