Azure IoT中心-保存遥测最佳实践 [英] Azure IoT Hub - Save telemetry best practice
问题描述
我正在研究一种可以保存天气数据的物联网解决方案. 我已经用几天的时间在Google上搜索如何设置后端. 我将使用Azure IoT中心来处理通信，但是下一步就是问题.
I am working on a IoT solution that will save weather data. I have googled for some days now on how to set up the backend. I am going to use Azure IoT Hub for handling communication, but the next step is the problem.
我想将遥测存储到数据库中.这就是我感到困惑的地方. 一些示例说我应该使用Azure BLOB存储或Azure Table存储或Azure SQL.
I want to store the telemetry to a database. This is where I get confused. Some examples says that I should use Azure BLOB storage or Azure Table storage or Azure SQL.
经过几年的数据收集，我想开始创建数据报告.因此，存储需要善于处理大数据.
After some years of data collection I want to start creating reports of the data. So the storage needs to be good at working with big data.
我遇到的下一个问题是将接收D2C并将其存储到数据库的工作程序.所有Azure IoT示例均使用控制台应用程序，有些示例仅使用Azure流分析将事件移植到数据库.最佳做法是什么?它需要能够扩展并尝试使用最佳实践.
Next problem I am stuck on is the worker that will receive the D2C and store it to database. All Azure IoT examples use a console application and some use Azure Stream analytics just to port the event to a database. What is the best practice? It needs to be able to scale and try to use best practice.
提前谢谢！
推荐答案
您将在阅读 https://docs.microsoft.com/zh-cn/azure/iot-hub/iot-hub-devguide-endpoints
您还将查看时间序列见解"
You shall also look at `Time Series Insights'
https://azure.microsoft.com/zh-我们/服务/time-series-insights/
这是我的粗略草图.时间序列要求从Active Directory生成令牌，但是设置起来很容易.
Here is my rough sketch. Time series requires token to be generated from Active Directory, but it's easy to setup.
如上所示，
- 设备将向IoT中心发送数据[您甚至可以在此处使用设备配置服务]
-
IOTHub支持多个端点.因此一端可以查看时间序列见解，而另一端可以访问CosmoDB之类的任何数据库.
- Device will be sending data to IoT Hub [You can even use Device Provisioning Service here]
IOTHub support multiple endpoints. so one end can go to time series insights and one go to any database like CosmoDB.
注意:时间序列只能存储400天的数据，以后会删除它.
Note: Time series can store only 400 days of data, later it deletes it.
关于报告-时间序列包含大量报告组件，并且非常快.另外，您可以使用c#之类的编程语言来访问它.
Regarding reports - Time series has extensive components for report and it's very fast. Also, u can access it using programming language like c#.
重要说明:在设计任何云架构师之前，请研究数据的大小调整"因素.像，数据的频率和大小.基于此，我们可以选择Azure云中的资源.
Important Note: Before designing any cloud architect, please work on "Sizing" factor of the data. Like, frequency of data and size. Based on that we can select the resources in azure cloud.
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