Data Engineering Podcast
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About
This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.
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Recent episodes
- How Amazon Uses Telemetry and AI to Automate Physical Logistics
- Why Metadata Still Matters: From Data Catalogs to AI-Ready Semantic Hubs
- Reducing Data Debt with Agile Ledger Architecture
- What Context Really Means in Data Engineering and AI
- Specialized AI for Data Engineers: Inside Astronomer’s Otto
- Why Multi-Agent Systems Need Shared State, Graph Semantics, and Governance
- Building the Context Flywheel for AI Data Agents
- Holding Kafka Right: Product-Friendly Streaming with TypeStream
- Text to Data Products: Kaarvi’s End-to-End AI for Ingestion, Quality, and Dashboards
- Scaling Graph Analytics Without ETL: Inside PuppyGraph’s Architecture