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
The True Costs of Legacy Systems: Technical Debt, Risk, and Exit Strategies (2025.10.19)
Prethodne epizode
- Context Engineering as a Discipline: Building Governed AI Analytics 2025.10.12
- The Data Model That Captures Your Business: Metric Trees Explained 2025.10.06
- From GPUs-as-a-Service to Workloads-as-a-Service: Flex AI’s Path to High-Utilization AI Infra 2025.09.29
- From RAG to Relational: How Agentic Patterns Are Reshaping Data Architecture 2025.09.18
- Duck Lake: Simplifying the Lakehouse Ecosystem 2025.09.10
- Aligning Business and Data: The Essential Role of Data Modeling 2025.09.02
- 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
