Last Saturday 20th October, I attended the following conferences:
- Power BI Hacks by Rui Romano
- Azure databricks for data scientist by Alberto Díaz Martín
- Deploying ML models by Pablo Doval
- An admin’s look to Power BI by Adam Saxton
- Processing real-time telemetry with Azure Stream Analytics by Murilo Miranda
- Deep learning hype by Carlos Ortega
The learning lesson I liked most were:
- The use of NativeQuery, use measure as dimensions, measures as images, an powerbips.tools tips to export data to SSAS (Power Bi hacks)
- The use of notebook for modelling, and exporting models, and examples of how to instanciate mml models, docker images and deploy it into production (Azure databricks)
- The use of powershell as a tool for managing Power BI (An admin’s look to Power BI)
- The use of Powershell, Visual Studio Code, and Python for configuring an running experiments. As well, as the discovery of Hyperdrive tools for optimising hyper parameters (Deploying ML models)
- The use case for configuring Azure Stream Analytics and the discovery of Azure Data Studio application for programming, executing and monitoring applications (Processing real-time telemetry)
- The benchmark of ML methods and the realisation of mistified deep learning methods (Deep learning)
I will pursue my quest of gaining domain and expertise in simulation sciences, by exploring the use of sensor and clould platforms for reading and modelling real-time stream of sensor data.
Special mention to Adam Saxton due to his impressive presentation and thanks fo all sponsors and volunteers for making SQLSaturday Madrid happens another year.