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.
Najnovija epizoda
Aligning Business and Data: The Essential Role of Data Modeling (2025.09.02)
Prethodne epizode
- From Academia to Industry: Bridging Data Engineering Challenges 2025.08.26
- High Performance And Low Overhead Graphs With KuzuDB 2025.08.19
- Bridging Data and Decision-Making: AI's Role in Modern Analytics 2025.08.12
- From Bits to Tables: The Evolution of S3 Storage 2025.08.05
- Revolutionizing Python Notebooks with Marimo 2025.07.28
- Warehouse Native Incremental Data Processing With Dynamic Tables And Delayed View Semantics 2025.07.21
- Streamlining Data Pipelines with MCP Servers and Vector Engines 2025.07.15
- Foundational Data Engineering At Two Sigma 2025.07.06
- Enabling Agents In The Enterprise With A Platform Approach 2025.06.30
- Dagster's New Era: Modularizing Data Transformation in the Age of AI 2025.06.18
- AI and the Lakehouse: How Starburst is Pioneering New Workflows 2025.06.11
- Amazon S3: The Backbone of Modern Data Systems 2025.06.03
- Scaling Data Operations With Platform Engineering 2025.05.29
- From Data Discovery to AI: The Evolution of Semantic Layers 2025.05.21
- Balancing Off-the-Shelf and Custom Solutions in Data Engineering 2025.05.14
- StarRocks: Bridging Lakehouse and OLAP for High-Performance Analytics 2025.05.05
- Exploring NATS: A Multi-Paradigm Connectivity Layer for Distributed Applications 2025.04.28
- Advanced Lakehouse Management With The LakeKeeper Iceberg REST Catalog 2025.04.21
- Simplifying Data Pipelines with Durable Execution 2025.04.13
- Overcoming Redis Limitations: The Dragonfly DB Approach 2025.03.30
