Open Industrial Data

The only thing holding back innovation is the ability to integrate data from various sources into a single destination that processes that data agnostically.  The untapped and currently useless data around me is astonishing.  We could be measuring the workloads of LED's in TVs, vibration in Hard drives, the wattage of plugs, the efficiency of lights, on and on. The sensors can be made or integrated without much issue, the problem lies in getting that data to the correct processing application that then handles that data in a manner that produces meaningful insights.  We are on the cusp here of finding an agnostic methodology to handling data and at that point it will be a race to ease -of -use, visual beauty and price.

In this conversation I will explain / help how to access the data from the Open Industrial Data Project (OID) CDF Project, through the Cognite Python SDK, with authentication through an interactive login token from Cognite Hub’s Azure Active Directory. The video in the article will step by step show you how you can get access to the data, and also link to the relevant information you will need. Steps:1. Install or update the following python modules/librariespip install cognite-sdkpip install msalpip install pandas2. Download the publicdata.py file and store it in your python environments working directory. this file is prefilled with the