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Big Data Applications in Industry 4.0

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advanced industrial data analytics solutions
Apache Spark
Artificial Satellite
Big Data
Big Data Analytics
biomedical data analysis
BTM
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cloud data engineering
Continuous Glucose Monitoring Sensors
Cps
Data Integration Solutions
Data Sets
Data Warehouse
Diabetes Technologies
Distributed File System
Dl
Education System
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eq_business-finance-law
eq_computing
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financial risk modeling
Implementing Big Data
IoT Device
machine learning applications
Non-traditional Risk Factors
NoSQL Databases
predictive analytics methods
Satellite
Sentiment Analysis
SM Data
smart manufacturing systems
Tamil Nadu
Tamilnadu State
Telemetry Data
Text Mining

Product details

  • ISBN 9781032008110
  • Weight: 757g
  • Dimensions: 156 x 234mm
  • Publication Date: 10 Feb 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

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
About

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