With the advent of such advanced technologies as cloud computing,
the Internet of Things, the Medical Internet of Things, the
Industry Internet of Things, and sensor networks as well as the
exponential growth in the usage of internet-based and social media
platforms, there are enormous oceans of data. These huge volumes of
data can be used for effective decision-making and improved
performance if analyzed properly. Due to its inherent
characteristics, big data is very complex and cannot be handled and
processed by traditional database management approaches. There is a
need of sophisticated approaches, tools, and technologies that can
be used to store, manage, and analyze these enormous amounts of
data to make the best use of them. Big Data Concepts, Technologies,
and Applications covers the concepts, technologies, and application
of big data analytics. Presenting the state-of-the-art technologies
in use for big data analytics. it provides in-depth discussion
about the important sectors where big data analytics is proved to
be very effective in improving performance and helping industries
to remain competitive. This book provides insight about the novel
areas of big data analytics and the research directions for the
scholars working in the domain. Highlights include: The advantages,
disadvantages and challenges of big data analytics. Such
state-of-the-art technologies for big data analytics as Hadoop,
NoSQL databases, data lakes, deep learning, and blockchain
Application of big data analytic in healthcare, business, social
media analytics, fraud detection and prevention, and governance
Exploring the concepts and technologies behind big data analytics,
the book is an ideal resource for researchers, students, data
scientists, data analysts, and business analysts who need insight
into big data analytics
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