Data & AI platform components in Azure

on YouTube ↗30m

" summary

A practical walkthrough of the enterprise pieces needed for an end-to-end data and AI platform and how Azure supplies them: ingestion with Event Hubs/IoT Hub and ADF, storage in data lake with hot/cold tiers and bronze/transient/gold zones, processing with Synapse Analytics and Spark, cataloging via Azure Purview, operational AI with Cognitive Services, prebuilt vs custom models in Azure Machine Learning (AutoML, ML Studio, DSVM), container deploy to ACI/AKS, and monitoring/model drift with App Insights and MLOps pipelines.

AI-written summary · about

" chapters (12)

1. 0:00Introduction
2. 0:55Agenda
3. 1:59About Rahat
4. 2:40Data AI components
5. 10:30Data ingestion life cycle
6. 13:20Data platform components
7. 17:40Azure ecosystem
8. 19:50AI components
9. 23:55Enterprise
10. 24:45AI Platform Components
11. 26:45Azure AI Platform Components
12. 27:45Model Production Monitoring

" related talks

• 01h 01mAI and ML imbedded in Azure Data PlatformArmando Lacerda · Global Summer 2020 Azure Data Fest 2020
• 51mIntroduction to Azure Data PlatformJavier Villegas · AzConf 2020
• 53mDemystifying Artificial Intelligence with Microsoft Cloud, Azure!Kasam Shaikh · AzConf 2020
• 34mMaking Data Scientists Productive in AzureValdas Maksimavičius · Big Data Conference Europe 2019
• 42mDesigning Enterprise Scale Cloud Platform on AzureSarvesh Goel · Global Azure Virtual 2021
• 26mBig Data on Azure with Structured, Unstructured and Streaming DataGustavo Ayub · Big Data Week São Paulo 2017
• 45mHow Data Hub flies above the clouds!Strahinja Miljkovic, Nikolaos Servos · DSC Europe 23
• 58mDeep Learning in Microsoft Azure: CNTK, CaffeOnSpark and TensorflowJen Stirrup · NDC Oslo 2019