|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/iiot-google-cloud-platform
课程评论：没有评论
课程总结：Google Cloud上的工业物联网 本课程“工业物联网在Google Cloud上”旨在介绍工业物联网的基本概念及其在Google Cloud平台上的应用。整个课程分为七个部分，每个部分涵盖物联网架构的特定领域。 1. **欢迎来到工业物联网**：课程开篇介绍物联网以及Google Cloud上的云物联网，涵盖了IoT Core、Pub/Sub和Dataflow，并讲解如何从设备到BigQuery和Dataprep的管道实施，利用这些工具分析物联网数据。 2. **什么是物联网？**：探讨物联网网络的基本结构，以及在Google Cloud上实施物联网的方法。 3. **传感器、设备和通信**：讲解选择传感器和设备的方法，设备的作用，以及标准的物联网通信协议。本部分采用模拟设备和数据进行实验，而不涉及实际的传感器和设备。 4. **Google Cloud的物联网平台**：介绍物联网架构的数据接收和处理阶段，利用IoT Core、Pub/Sub、Cloud Storage和Dataflow等Google完全集成的服务进行数据处理，并通过迷你实验巩固学习。 5. **创建物联网数据流管道**：带领学习者通过模拟设备创建一个完整的IoT数据管道，数据存储在Cloud Storage中，综合运用前面所学的技能。 6. **使用BigQuery分析数据**：利用BigQuery分析实时的IoT数据，包括创建BigQuery表并通过数据流管道将数据传输到表中。 7. **使用Dataprep和Data Studio分析和可视化数据**：学习Dataprep和Google Data Studio，探索和准备结构化和非结构化数据，并制作数据报告和仪表盘。 8. **课程回顾**：对课程学习目标进行总结。 此课程为希望了解如何在Google Cloud上构建和分析工业物联网解决方案的学习者提供了系统的知识和实践机会。
Part: 1
Title:Welcome to Industrial IoT on Google Cloud
Description:This course is an introduction to IoT in general and Cloud IoT on Google Cloud specifically. The course is divided into seven sections, and each of these section covers a specific area of IoT architecture. We learn about the Cloud side of IOT, IoT Core, Pub/Sub, and Dataflow. We also learn about Implementing a pipeline from their device to BigQuery and Dataprep and using BigQuery, Dataprep and Google Data Studio to gain insights into IoT data.
Part: 2
Title:What is IoT?
Description:This section begins with a discussion of the basic structure of an IoT network, followed by a discussion of how IoT is done on Google Cloud.
Part: 3
Title:Sensors, Devices, and Communication
Description:This module covers how to select a sensor, how to select a device, the role of devices, and standard IoT communication protocols. Since the focus of the course is on the Cloud side of IoT, things that are not on the Cloud, like actual sensors and devices are not used in this course. Instead, the labs use simulated devices and data.
Part: 4
Title:Google Cloud's IoT Platform
Description:This section covers the ingest and process stages of IoT architecture. Data ingesting and processing are accomplished using Google's fully integrated services known as IoT Core, Pub/Sub, Cloud Storage, and Dataflow. You do a mini lab for each of the services discussed in this section. This reinforces the concepts just learned, and allows you to practice using the Google Cloud console.
Part: 5
Title:Creating IoT Data Streaming Pipelines
Description:This module leads the learner through a complete IoT on Google Cloud data pipeline. You use simulated devices to create a pipeline, and store data on Cloud Storage. The lab in this module uses all the skills you've learned in module three, combining each of the services into a fully integrated streaming data pipeline.
Part: 6
Title:Analyzing Data with BigQuery
Description:In this module, you use BigQuery to analyze streaming IoT data. You'll do this by creating a BigQuery table and streaming data to it using a streaming data pipeline.
Part: 7
Title:Analyzing and Visualizing Data with Dataprep and Data Studio
Description:In this module, you learn about Dataprep and Google Data Studio. Dataprep by Trifecta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. Google Data Studio is a data-reporting and dashboarding solution.
Part: 8
Title:Course Review
Description:A review of the course learning objectives
Learn Industrial Internet of Things on Google Cloud
