Big Data Analysis: History, Characteristics, Challenges, and Techniques

This presentation provides an overview of Big Data Analysis, including its history, characteristics, challenges, and techniques. It explains how Big Data technology supports businesses with examples and explores the techniques currently available for analyzing Big Data. The presentation also discusses the issues related to the growth of data, lack of understanding regarding large amounts of data, shortage of professionals, and confusion in determining the tool for Big Data Analytics.

History on big Data
History of big data has come through census crisis,
information explosion, programmable computer, relational
database, social media revolution and increased storage
capacity.
Information Systems and Big Data Analysis
Name of the Student
What is big Data
Big data refers to the field that essentially discover varied ways for
evaluating as well as systematically arranging large information
sets. It is concerned with the use of varied softwares for managing
the data in an effective manner.
Characteristics of Big data
Varied characteristics of big data are as follows
• Volume
• Variety
• Veracity
• Value
• Velocity
The challenges of big data
analytics
Varied Issues of big data analytics are:
• Issues related to growth of data
• Lack of understanding regarding large amount of data
• Shortage of professionals
• Confused in determining the tool for big data analytics
References
Saggi, M. K. and Jain, S., 2018. A survey towards an integration of big
data analytics to big insights for value-creation. Information Processing &
Management. 54(5). pp.758-790.
Silva, B. N., Diyan, M. and Han, K., 2019. Big data analytics. In Deep
Learning: Convergence to Big Data Analytics (pp. 13-30). Springer
How Big Data technology could
support business & Examples
Big data plays a vital role in business organisations as it
helps them to enhance their operations and make
effective modifications in obsolete processes
For example, Morrisons which is an UK based retail
company having varied supermarkets use big data
analytics software for making strategic as well as critical
decisions.
Techniques that are currently available
to analysis big data
Varied techniques for big data analytics are as follows:
• Association rule thumbing
• Classification tree analysis
• Machine learning
• Analysis based on social network
• Regression analysis