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: Hardback
Length: 188 pages
Publication date: 25 October 2023
Publisher: Taylor & Francis Ltd

With the advent 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, as well as the exponential growth in the usage of internet-based and social media platforms, an immense ocean of data has emerged. These vast volumes of data hold immense potential for effective decision-making and improved performance if analyzed correctly. However, due to its inherent complexity, big data cannot be handled and processed using traditional database management approaches. Consequently, there is a pressing need for sophisticated approaches, tools, and technologies to store, manage, and analyze these enormous 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 enhancing 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 across various industries. It discusses how big data analytics is being used in healthcare to improve patient outcomes, in business to enhance decision-making, in social media analytics to understand user behavior, in fraud detection and prevention to identify fraudulent activities, and in governance to improve policy-making and public service delivery.

Exploring the Concepts and Technologies Behind Big Data Analytics: The book delves into the fundamental concepts and technologies behind big data analytics. It provides a comprehensive understanding of the data lifecycle.

In conclusion, Big Data Concepts, Technologies, and Applications is a comprehensive resource for researchers, students, data scientists, data analysts, and business analysts seeking to gain a deeper understanding of the world of big data analytics. It offers a comprehensive exploration of the concepts, technologies, and applications of big data analytics, providing valuable insights into the opportunities and challenges associated with this field. By leveraging the power of big data, industries can unlock new insights, improve performance, and stay ahead of the competition in today's rapidly evolving digital landscape.

Weight: 560g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032162751