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Intelligence at the edge : using SAS with the Internet of Things /
Explore powerful SAS analytics and the Internet of Things! The world that we live in is more connected than ever before. The Internet of Things (IoT) consists of mechanical and electronic devices connected to one another and to software through the internet. Businesses can use the IoT to quickly mak...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cary, NC :
SAS Institute Inc.,
2020.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 245 | 0 | 0 | |a Intelligence at the edge : |b using SAS with the Internet of Things / |c edited by Michael Harvey. |
| 264 | 1 | |a Cary, NC : |b SAS Institute Inc., |c 2020. | |
| 300 | |a 1 online resource : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 504 | |a Includes bibliographical references. | ||
| 520 | |a Explore powerful SAS analytics and the Internet of Things! The world that we live in is more connected than ever before. The Internet of Things (IoT) consists of mechanical and electronic devices connected to one another and to software through the internet. Businesses can use the IoT to quickly make intelligent decisions based on massive amounts of data gathered in real time from these connected devices. IoT increases productivity, lowers operating costs, and provides insights into how businesses can serve existing markets and expand into new ones. Intelligence at the Edge: Using SAS with the Internet of Things is for anyone who wants to learn more about the rapidly changing field of IoT. Current practitioners explain how to apply SAS software and analytics to derive business value from the Internet of Things. The cornerstone of this endeavor is SAS Event Stream Processing, which enables you to process and analyze continuously flowing events in real time. With step-by-step guidance and real-world scenarios, you will learn how to apply analytics to streaming data. Each chapter explores a different aspect of IoT, including the analytics life cycle, monitoring, deployment, geofencing, machine learning, artificial intelligence, condition-based maintenance, computer vision, and edge devices. | ||
| 588 | 0 | |a Vendor-supplied metadata. | |
| 505 | 0 | |a Intro -- Contents -- Preface -- About the Internet of Things -- About This Book -- We Want to Hear from You -- About the Author -- Chapter 1: Using SAS Event Stream Processing to Process Real World Events -- Introduction -- How Does SAS Event Stream Processing Work? -- What is a SAS Event Stream Processing Model? -- Processing Events in Derived Windows -- Examples of Event Transformations -- Streaming Analytics -- Addressing Big Data and the Internet of Things -- Conclusion -- About the Contributors | |
| 505 | 8 | |a Chapter 2: Linking Real-World Data to SAS Event Stream Processing Through Connectors and Adapters -- Introduction -- Publishers and Subscribers -- Writing Your Own Connector -- Orchestrating Connectors -- Alternative Client Transports for Adapters -- Connectors and Adapters Available with SAS Event Stream -- Processing -- Example: Using a File and Socket Connector and a WebSocket -- Connector -- Conclusion -- About the Contributor -- Chapter 3: Applying Analytics to Streaming Data -- Introduction -- The Multi-Phase Analytics Life Cycle -- Online and Offline Models | |
| 505 | 8 | |a Online Versus Offline Model Deployment -- Potential for Model Application -- Stability Monitoring -- Support Vector Data Description -- Application of Offline Models on Streaming Data -- Subspace Tracking -- Conclusion -- References -- About the Contributors -- Chapter 4: Administering SAS Event Stream Processing Environments with SAS Event Stream Manager -- Introduction -- Monitoring Your SAS Event Stream Processing Environment -- Executing Projects from SAS Event Stream Manager -- Governing and Testing Assets -- Handling Changes to ESP Servers -- Integrating with SAS Model Manager | |
| 505 | 8 | |a Accommodating Different User Roles -- Example: Deploying a Project Using a Job Template -- Conclusion -- About the Contributor -- Chapter 5: SAS Event Stream Processing in an IoT Reference Architecture -- What is an IoT Reference Architecture? -- IoT Reference Architecture Components -- Deployment Considerations -- Use Case -- Conclusion -- References -- About the Contributors -- Chapter 6: Artificial Intelligence and the Internet of Things -- Introduction -- What Do We Mean by Artificial Intelligence? -- How Does AI Interact with the Internet of Things? -- There's No Place Like Home: AI and IoT | |
| 505 | 8 | |a Creating and Remotely Deploying a SAS Deep Learning Image -- Detection and Classification Model -- What Will the Future Bring? -- Conclusion -- References -- About the Contributor -- Acknowledgment -- Chapter 7: Using Geofences with SAS Event Stream Processing -- What Is a Geofence? -- Understanding the Geofence Window -- Geometries -- Conclusion -- Reference -- About the Contributor -- Acknowledgments -- Chapter 8: Using Deep Learning with Your IoT Digital Twin -- Introduction -- How Can Analytics Be Used to Create a Digital Twin? -- Digital Twin Examples -- Anomaly Detection | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a SAS (Computer file) |
| 630 | 0 | 7 | |a SAS (Computer file) |2 fast |
| 650 | 0 | |a Internet of things. | |
| 650 | 6 | |a Internet des objets. | |
| 650 | 7 | |a Internet of things |2 fast | |
| 700 | 1 | |a Harvey, Michael, |e editor. | |
| 776 | 0 | 8 | |i Print version: |a Harvey, Michael. |t Intelligence at the Edge : Using SAS with the Internet of Things. |d Cary, NC : SAS Institute, ©2020 |z 9781642957761 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781642957785/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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