[Blog] Building a Scalable Telco CDR Processing Pipeline with Databricks Delta Live Tables - Part 1

Pat
Esteemed Contributor

Hey everyone! 👋

I wanted to share what I'm working with daily in the Databricks ecosystem and how amazing it is that we can achieve everything within one platform!

Just published a deep dive on building a Telco CDR Processing Pipeline using:
🔹 Delta Live Tables (DLT) - for streaming data ingestion
🔹 Databricks Asset Bundles (DAB) - for deployment automation
🔹 Medallion Architecture - bronze layer implementation
🔹 Unity Catalog - for governance and lineage
🔹 Serverless Compute - for auto-scaling

Part 1 covers the bronze layer - streaming billions of telecom records (voice, data, SMS, VoIP) from Kafka with secure credential management and automated deployments.

Next steps: Silver/Gold layers, DQX expectations, alerting workflows, and CI/CD pipelines for production-ready operations.

What I love most: Everything integrated in one platform - from data ingestion to dashboards to alerts! 🚀

📖 Full articleDLT Telco Part1

💻 Code repo: https://github.com/cloud-data-engineer/data/blob/main/dlt_telco/README.md 

Would love to hear about your DLT experiences and any feedback on the approach!

#DLT #DataEngineering