Data Engineering Podcast
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.
Latest Episode
High Performance And Low Overhead Graphs With KuzuDB (19.08.2025)
Previous Episodes
- Bridging Data and Decision-Making: AI's Role in Modern Analytics 12.08.2025
- From Bits to Tables: The Evolution of S3 Storage 05.08.2025
- Revolutionizing Python Notebooks with Marimo 28.07.2025
- Warehouse Native Incremental Data Processing With Dynamic Tables And Delayed View Semantics 21.07.2025
- Streamlining Data Pipelines with MCP Servers and Vector Engines 15.07.2025
- Foundational Data Engineering At Two Sigma 06.07.2025
- Enabling Agents In The Enterprise With A Platform Approach 30.06.2025
- Dagster's New Era: Modularizing Data Transformation in the Age of AI 18.06.2025
- AI and the Lakehouse: How Starburst is Pioneering New Workflows 11.06.2025
- Amazon S3: The Backbone of Modern Data Systems 03.06.2025
- Scaling Data Operations With Platform Engineering 29.05.2025
- From Data Discovery to AI: The Evolution of Semantic Layers 21.05.2025
- Balancing Off-the-Shelf and Custom Solutions in Data Engineering 14.05.2025
- StarRocks: Bridging Lakehouse and OLAP for High-Performance Analytics 05.05.2025
- Exploring NATS: A Multi-Paradigm Connectivity Layer for Distributed Applications 28.04.2025
- Advanced Lakehouse Management With The LakeKeeper Iceberg REST Catalog 21.04.2025
- Simplifying Data Pipelines with Durable Execution 13.04.2025
- Overcoming Redis Limitations: The Dragonfly DB Approach 30.03.2025
- Bringing AI Into The Inner Loop of Data Engineering With Ascend 24.03.2025
- Astronomer's Role in the Airflow Ecosystem: A Deep Dive with Pete DeJoy 17.03.2025
