Big Data Concepts, Technologies, and Applications

Big data is a complex and growing field that requires sophisticated approaches, tools, and technologies to store, manage, and analyze. This book provides an in-depth discussion of big data analytics, its advantages, disadvantages, and challenges, and highlights state-of-the-art technologies such as Hadoop, NoSQL databases, data lakes, deep learning, and blockchain. It is an ideal resource for researchers, students, data scientists, data analysts, and business analysts who need insight into big data analytics.

Format: Paperback / softback
Length: 188 pages
Publication date: 25 October 2023
Publisher: Taylor & Francis Ltd

The emergence of cutting-edge technologies such as cloud computing, the Internet of Things (IoT), the Medical Internet of Things (MIOt), the Industry Internet of Things (IoT), and sensor networks, along with the exponential surge in the usage of internet-based and social media platforms, has resulted in the creation of vast oceans of data. These immense volumes of data possess immense potential for effective decision-making and enhanced performance if properly analyzed. However, due to its inherent complexity, big data cannot be effectively handled and processed using traditional database management approaches. Consequently, there is a pressing need for sophisticated approaches, tools, and technologies that can efficiently store, manage, and analyze these vast amounts of data to maximize their value.

Big Data Concepts, Technologies, and Applications delves into the realm of big data analytics, presenting the state-of-the-art technologies employed in this field. It offers an in-depth exploration of the significant sectors where big data analytics has proven to be highly effective in improving performance and enabling industries to maintain their competitive edge. This book provides valuable insights into the emerging areas of big data analytics and the research directions for scholars engaged in this domain. Key highlights include:

Advantages, Disadvantages, and Challenges of Big Data Analytics: This section examines the benefits, drawbacks, and challenges associated with big data analytics. It sheds light on the opportunities and risks that arise from the analysis of large and diverse datasets.

State-of-the-Art Technologies for Big Data Analytics: The book provides a comprehensive overview of the state-of-the-art technologies employed in big data analytics. It covers topics such as Hadoop, NoSQL databases, data lakes, deep learning, and blockchain, which are essential tools for managing, processing, and analyzing large datasets.

Application of Big Data Analytics in Healthcare, Business, Social Media Analytics, Fraud Detection and Prevention, and Governance: The book showcases the practical applications of big data analytics in various sectors. It discusses how big data analytics is being used in healthcare to improve patient outcomes, enhance business operations, analyze social media data for marketing insights, detect fraud, and prevent cyber-attacks.

Exploring the Concepts and Technologies Behind Big Data Analytics: This section delves into the fundamental concepts and technologies that underpin big data analytics. It provides a theoretical foundation for understanding the processes, techniques, and algorithms used in data analysis and visualization.

The book serves as an invaluable resource for researchers, students, data scientists, data analysts, and business analysts who are interested in harnessing the power of big data. It offers a comprehensive and up-to-date understanding of the field, enabling professionals to stay ahead of the curve and make informed decisions based on data-driven insights.

Weight: 338g
Dimension: 154 x 233 x 17 (mm)
ISBN-13: 9781032579184