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Edge Analytics: IoT and Data Science

Via LinkedIn Learning

LinkedIn Learning based on 312 ratings

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Overview

"Edge Analytics: IoT and Data Science" is an insightful course that explores the intersection of Internet of Things (IoT) technology and data science, focusing on processing data at the network edge. Designed for data scientists, engineers, and technology professionals, this course explains how edge analytics enables real-time insights and faster decision-making by analyzing data closer to its source. The course begins by introducing the fundamentals of IoT systems, including sensors, devices, and communication protocols. Learners will explore the challenges of transmitting...

Syllabus

Introduction

  • Leverage edge computing
  • Evolution of edge computing
  • What you should know

1. Introduction to Edge Computing

  • What is edge computing?
  • Edge computing: Use case 1
  • Edge computing: Use case 2
  • Components of edge computing
  • Edge computing infrastructure

2. Edge Computing Basics

  • Edge computing: Architecture basics
  • Edge computing: Networking
  • Edge computing: Storage
  • Edge computing: Compute
  • Edge computing: Management

3. Components of Edge Computing

  • Other edge computing requirements
  • Edge computing: Security
  • Edge computing: Governance
  • Edge configuration management
  • Edge data management
  • Edge computing: Operations

4. Edge Computing and Cloud Computing

  • Linking edge computing with cloud computing
  • Cloud-based edge computing services
  • Development and deployment of edge computing from the cloud
  • Demo: Azure edge-based services
  • Demo: AWS edge-based services

5. Building Edge Computing Systems

  • Building an edge computing solution
  • Edge computing: Design
  • Edge computing: Development
  • Edge computing: Deployment
  • Edge operations planning

6. The Future of Edge Computing

  • Next-generation edge computing
  • AI at the edge
  • Federated systems at the edge
  • Distributed security at the edge
  • Future edge-based applications

Conclusion

  • Staying current on edge computing
Edge Analytics: IoT and Data Science
Go to Class

via LinkedIn Learning

1 hour 48 minutes

Certificate Available

English

On-Demand

Instructor

David Linthicum

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