Industrial IoT, AI & Azure/AWS IoT Specialist

Offerings
Industrial IoT Demos
Visualize OPCUA Data using AWS IoT Sitewise Visualize OPCUA Data using Kepware & AWS IoT Sitewise Visualize OPCUA Data using Ignition & AWS Timestream Digital Twin Modelling & Visualization of OPCUA Data using AWS Twinmaker Visualize Telemetry Data from Multiple Edge Gateways using Fabric Visualize OPCUA Data using Kepware & Microsoft Fabric Visualize OPCUA Data using Azure IoT Edge & Microsoft Fabric Digital Twin Modelling & Visualization using Azure Visualize OPCUA Data using Ignition
Artificial Intelligence Demos
Anomaly Detection & Predictive Maintenance using AWS Lookout for Equipment Machine Failure Prediction using Azure Machine Learning Prediction using Azure ML & Visualization using Microsoft Fabric Copilot for Custom data using Azure OpenAI Image Anaysis using Azure AI Vision Translate Speech & Text using Azure AI Document Intelligence using Azure AI OpenAI Canvas App using Microsoft Power Apps
Other (Misc) Demos
Visualize Telemetry Data using Azure Event Streams, Lakehouse & Power BI Visualize Telemetry Data using AWS IoT & Grafana Visualize Telemetry Data using Azure Web App Visualize Telemetry Data using Azure Stream Analytics & Power BI Lakehouse Solution using Microsoft Fabric Model Driven App Solutions using Microsoft Power Apps
About

Lakehouse Solution using Microsoft Fabric

Created a Lakehouse by ingesting sample data and also ingested additional data into the Lakehouse by using the copy data activity of the Data Factory pipeline to ingest the additional data from a blob storage. Transformed this data and prepared it for creating delta tables using Notebooks. Two approaches were implemented using Notebooks: (a)PySpark and (b)Spark SQL in order to join and aggregate the data for generating business aggregates. Connected to the Lakehouse using the TDS/SQL endpoint and created the relationship between the different tables. Lastly, created Power BI Reports to analyze the ingested data across different dimensions.

NOTE: The below demo video is hosted on YouTube and incase you are unable to view this demo video then access has to be specifically provided.