Comprehensive Analysis of Big Data: History, Tech & Business Impact

This report provides a comprehensive overview of big data analysis, starting with its history and evolution, and then delving into the key characteristics that define big data, such as volume, velocity, variety, and veracity. It explores the technologies associated with big data, including Hadoop, Spark, Hive, and cloud computing, and discusses how these technologies support businesses by enabling effective data management and customer engagement. The report also addresses the challenges of big data analytics, including data security, data mining, data complexity, and maintaining data quality, and highlights techniques like machine learning and statistical analytics used to overcome these challenges. Furthermore, the report emphasizes the importance of managing data privacy and ensuring data security in the context of big data analytics. The document concludes by citing references that support the information presented, offering a well-rounded perspective on the subject.

History on big Data
Big data technology is linked with wider term of data and
source of information that manages several sort of
customers in the business of management. It is essential
and obligatory term for the business to maintain their big
data analytics that involves growth in the field of the
market place
Information Systems and Big Data Analysis
What is big Data
Big data technology covers following section such as Hadoop,
Spark, Hive and as well as Cloud. Such technology involves the
software that help the structure to manage big data that are directly
linked with the business.
Characteristics of Big data
Big data also require the manner of the business of
management that follow a suitable structure to gain
higher term of success in an effective and an efficient
term of manner.
The volume of data
Variety of data
The velocity of data
The challenges of big data analytics
Data security
Data complexity
Maintaining quality Data
References
• Adnan, T.T., Tanjim, M.M. and Adnan, M.A., 2021.
Fast, scalable and geo-distributed PCA for big data
analytics. Information Systems, 98, p.101710.
• Bettahar, B. and Aggoun, A., 2021. The Role of Big
Data Analysis and Strategic Vigilance in Decision-
Making. In Big Data Analytics (pp. 107-120). Apple
Academic Press.
How Big Data technology could support
business & Examples
Management of data
Privacy of data
Customer engagement
Techniques that are currently available to
analysis big data
Data mining
Machine learning
Statistics