How to optimize Azure Machine Learning for IoT production usage

By Open Source Blog - 2020-10-23

Description

Introduction Over the last few years IoT devices, machine learning (ML), and artificial intelligence (AI) have become very popular and now a lot of companies are moving forward to use them in producti ...

Summary

Introduction Over the last few years IoT devices, machine learning (ML), and artificial intelligence (AI) have become very popular and now a lot of companies are moving forward to use them in production.
Azure provides an easy way to set up the whole pipeline to move data from the IoT device to the Data Lake.
1GB of shared data (for 500 sim cards) for an AT&T business contract in the US costs approximately $720.
Usually, the Docker size for Python with all DS libraries is ~1GB, but with this layered approach, we need to transfer only a small amount of this information after the first setup (you can find more information on the internet, but I recommend to start from this Stackoverflow answer).

Topics

Backend (0.37)
Machine_Learning (0.09)
Database (0.06)

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