Analysis of Big Data in Social Network Marketing and Social Media
Author
Shahida B
Abstract
Data is the foundation of every system. Data keep scaling at
different types. The creation of an automated system in the field of digital
media deals with the enormous amounts of data that accumulate over time on www.
Social networks were used to update it globally every second. Social networks
offer the chance to engage with others in a personal, professional, and
entertaining way. This study tries to show how social networking and media
recommendation use a tremendous quantity of data. There are many different
social networking websites on www. The primary goal of this study is to examine
how individuals interact with social media and how TV media use social media to
rank channels and shows. Big data, big data analytics, social networks
analytics, TV media social networks, emotional analysis.Every economy,
production, organization, business function, and individual now depend on data
in some way. The use of the internet, smartphones, social networks, the
development of ubiquitous computing, and several other technical breakthroughs
are all contributing to the world's expanding data volume. Cost savings,
quicker, better decision-making, and the development of new goods and services
are all benefits of big data. However, the three V's of big data—Velocity,
Volume, and Variety—amplify security and privacy vulnerabilities. These
variables include things like massive cloud infrastructures, variety in data
sources and formats, acquisition of data occurring in streams, and a rising
amount of inter-cloud migrations. We have examined how the Bloom filter (BF)
can be used to overcome problems with sorting and decomposing huge amounts of
data both in space and time.
Keywords
NoSQL database, MongoDB, CouchDB, Column Database, Key-value Database, Big Data, Big Data Analytics, RDBMS, and NoSQL
DOI : https://doi.org/10.55248/gengpi.2022.3.9.26
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