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Big Data Privacy

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Added on  2023-01-23

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This presentation explores the importance of big data privacy in social media, discussing its characteristics, advantages, and challenges. It also provides recommendations for dealing with big data privacy issues in the future. The presentation highlights the role of machine learning and data scientists in addressing these issues and emphasizes the need for businesses to invest in IT infrastructure for data security. It concludes by discussing the benefits of big data technologies and privacy in social media, such as cost and time effectiveness, new product development, and market understanding.

Big Data Privacy

   Added on 2023-01-23

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Big Data Privacy
Name of the Student
Name of the University
Big Data Privacy_1
Introduction
Big data is stated as a significant field, which majorly
treats various methodologies to analyse, systematic
information extraction (Constantiou & Kallinikos, 2015).
Big data helps to deal with numerous data sets that are
much complex and larger in size.
The three characteristics of big data are 3Vs, which are
volume, variety and velocity of data.
Big data in social media helps to maintain data security
and privacy by elimination of complexities (Chen, Chiang
& Storey, 2012).
Big Data Privacy_2
Description of Big Data
characteristics
The first V is the huge or extremely volume of data,
which is measured on the size of the data within an
organization.
The second V refers to broader or wider variety of
data types to understand the different variety and
deal with data complexity.
The third V refers to the velocity at which the data
sets are being processed by the respective user.
Big Data Privacy_3
Understanding Big Data Privacy
Big data, being a major technology to properly use user
behaviour analytics, any advanced data analytics method and
predictive analytics.
New correlations are being searched to spot major business
trends, disease prevention, combating of crime and several
others.
The governments, advertisements and executives of
businesses can deal with difficulties with large data sets.
Big Data Privacy_4

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