2 Web-Based Data Manipulation to Improve the Accessibility of Factory Data Using Big Data Analytics: An Industry 4.0 Approach
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R. Vijayapriya
Abstract
Industry 4.0 is one of the emerging revolutions in the current enhancements with digital manufacturing. Every process associated with this involved multiple levels of transactions. Amount of data generated and manipulated is enormous. Success of the technologies used in Industry 4.0 is depending on the way in which data and results are connected with the end users, process and product owners as well as the various teams involved in product development. In this chapter, we have taken a smart grid-based industry structure and used data analytics and visualization methods to effectively capture, store, and display in web-based interface. Implementation results show considerable improvements by means of adaptability, scalability, and usability.
Abstract
Industry 4.0 is one of the emerging revolutions in the current enhancements with digital manufacturing. Every process associated with this involved multiple levels of transactions. Amount of data generated and manipulated is enormous. Success of the technologies used in Industry 4.0 is depending on the way in which data and results are connected with the end users, process and product owners as well as the various teams involved in product development. In this chapter, we have taken a smart grid-based industry structure and used data analytics and visualization methods to effectively capture, store, and display in web-based interface. Implementation results show considerable improvements by means of adaptability, scalability, and usability.
Chapters in this book
- Frontmatter I
- Contents V
- List of Authors VII
- 1 Demystifying Industrial Trends in Data Fabric 1
- 2 Web-Based Data Manipulation to Improve the Accessibility of Factory Data Using Big Data Analytics: An Industry 4.0 Approach 19
- 3 The Overview of Data Virtualizations and Its Modern Tools in the Domain of Data Fabrics 35
- 4 Data Fabric Technologies and Their Innovative Applications 61
- 5 Enterprise Data 95
- 6 Features, Key Challenges, and Applications of Open-Source Data Fabric Platforms 115
- 7 An Open-Source Data Fabric Platform: Features, Architecture, Applications, and Key Challenges in Public Healthcare Systems 127
- 8 Simulation Tools for Big Data Fabric 149
- 9 Simulation Tools for Data Fabrication 167
- 10 Security, Privacy, and Authentication Framework for Web-Driven Data Fabric 183
- 11 Government Compliance Strategies for Web-Driven Data Fabric 199
- Index 215
Chapters in this book
- Frontmatter I
- Contents V
- List of Authors VII
- 1 Demystifying Industrial Trends in Data Fabric 1
- 2 Web-Based Data Manipulation to Improve the Accessibility of Factory Data Using Big Data Analytics: An Industry 4.0 Approach 19
- 3 The Overview of Data Virtualizations and Its Modern Tools in the Domain of Data Fabrics 35
- 4 Data Fabric Technologies and Their Innovative Applications 61
- 5 Enterprise Data 95
- 6 Features, Key Challenges, and Applications of Open-Source Data Fabric Platforms 115
- 7 An Open-Source Data Fabric Platform: Features, Architecture, Applications, and Key Challenges in Public Healthcare Systems 127
- 8 Simulation Tools for Big Data Fabric 149
- 9 Simulation Tools for Data Fabrication 167
- 10 Security, Privacy, and Authentication Framework for Web-Driven Data Fabric 183
- 11 Government Compliance Strategies for Web-Driven Data Fabric 199
- Index 215
