Due to explosion of IoT, we have streaming data that needs to be processed in real-time. This needs to be made available for applications as well as analytics scenarios such as anomaly detection. This workshop presents a solution using Confluent Cloud on Azure, Azure Cosmos DB and Azure Synapse Analytics which can be connected in a secure way within Azure VNET using Azure Private link configured on Kafka clusters.

1. Extracting Value from IoT with
Azure Cosmos DB, Azure Synapse Analytics
and Confluent Cloud
Abhishek Gupta
Senior Program Manager, Azure Cosmos DB

2. aka.ms/azure-kafka-iot

3. Azure Cosmos DB
Kafka Connect for
Azure Cosmos DB
(open source)
Apache Kafka on Confluent
Cloud
(via Azure Marketplace)

4. Use Case, Architecture and
Solution walkthrough

5. Analyze IoT
(device) data
Ingest (streaming) data
Reliable, scalable data store
Secure data transfer
Robust Data pipeline
Extract insights from data (at scale)
Build user/developer facing apps

6. Use case & Solution architecture
Ingest, store and analyze device data

7. The good stuff!
aka “the demo”

8. Managed services for the win!
• Ingest (streaming) data
• Reliable, scalable data store
• Secure Data transfer
• Robust data pipeline
• Extract insights from data
• Build user/developer facing apps
• Confluent Cloud on Azure +
Private Link
• Azure Cosmos DB
• Synapse Link + Connectors (on
AKS)
• Azure Synapse Analytics
• Azure Spring Cloud

9. Thank You!
aka.ms/azure-kafka-iot
👉