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Data Management for Smart Manufacturing Part 3 | Data Modelling, Contextualization and Normalization
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In Part 3 of the Data Management for Smart Manufacturing Series, we delve into the methods of transforming, standardizing, normalizing, and modelling the collected data. This process is crucial to ensure that the data can be correctly understood and interpreted, thus enhancing its quality and usefulness for Industry 4.0.
Time-stamps:
0:00 Introduction
02:31 What is DataOps and how it is used in data management
04:39 Data Modelling for IIoT: Laying the Foundation
06:22 Data Normalization for IIoT: Ensuring Clean and Consistent Data
08:18 Data Transformation for IIoT: Making Data Ready for Analysis
09:16 Data Contextualization for IIoT: Adding Meaning to Your Data
Resources:
#smartmanufacturing #IIoT #smartfactory #datamanagement #dataops #industry40
Time-stamps:
0:00 Introduction
02:31 What is DataOps and how it is used in data management
04:39 Data Modelling for IIoT: Laying the Foundation
06:22 Data Normalization for IIoT: Ensuring Clean and Consistent Data
08:18 Data Transformation for IIoT: Making Data Ready for Analysis
09:16 Data Contextualization for IIoT: Adding Meaning to Your Data
Resources:
#smartmanufacturing #IIoT #smartfactory #datamanagement #dataops #industry40
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