Big Data Applications in Industry 4.0 (eBook, PDF)

Redaktion: Kaliraj, P.; Devi, T.

• Format: PDF

Produktbeschreibung

Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential to reduce resource consumption and optimize processes, thereby playing a key role in achieving sustainable development.



Big Data Applications in Industry 4.0 covers the recent advancements that have emerged in the field of Big Data and its applications. The book introduces the concepts and advanced tools and technologies for representing and processing Big Data. It also covers applications of Big Data in such domains as financial services, education, healthcare, biomedical research, logistics, and warehouse management. Researchers, students, scientists, engineers, and statisticians can turn to this book to learn about concepts, technologies, and applications that solve real-world problems.



Features

• An introduction to data science and the types of data analytics methods accessible today



• An overview of data integration concepts, methodologies, and solutions



• A general framework of forecasting principles and applications, as well as basic forecasting models including naïve, moving average, and exponential smoothing models



• A detailed roadmap of the Big Data evolution and its related technological transformation in computing, along with a brief description of related terminologies



• The application of Industry 4.0 and Big Data in the field of education



• The features, prospects, and significant role of Big Data in the banking industry, as well as various use cases of Big Data in banking, finance services, and insurance



• Implementing a Data Lake (DL) in the cloud and the significance of a data lake in decision making

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 446
• Erscheinungstermin: 9. Februar 2022
• Englisch
• ISBN-13: 9781000537666
• Artikelnr.: 63205170

Autorenporträt

Prof. P. Kaliraj is the Vice-Chancellor of Bharathiar University, Coimbatore, India. Prof. T. Devi is the dean of faculty of research at the Department of Computer Applications, Bharathiar University, Coimbatore, India

Inhaltsangabe

Preface. Acknowledgments. Editors. Contributors. 1 Data Science and Its
Applications. 2 Industry 4.0: Data and Data Integration. 3 Forecasting
Principles and Models: An Overview. 4 Breaking Technology Barriers in
Diabetes and Industry 4.0. 5 Role of Big Data Analytics in Industrial
Revolution 4.0. 6 Big Data Infrastructure and Analytics for Education 4.0.
7 Text Analytics in Big Data Environments. 8 Business Data Analytics:
Applications and Research Trends. 9 Role of Big Data Analytics in the
Financial Service Sector. 10 Role of Big Data Analytics in the Education
Domain. 11 Social Media Analytics. 12 Robust Statistics: Methods and
Applications. 13 Big Data in Tribal Healthcare and Biomedical Research. 14
PySpark towards Data Analytics. 15 How to Implement Data Lake for Large
Enterprises. 16 A Novel Application of Data Mining Techniques for Satellite
Performance Analysis. 17 Big Data Analytics: A Text Mining Perspective and
Applications in Biomedicine and Healthcare. Index.