

Freestyle Fridays - Shifting Left AND Right. The Data Engineering Lifecycle in 2025. What's Changed?
18 snips Mar 28, 2025
The conversation dives into the evolving perspectives on the data engineering lifecycle, highlighting insights from a recent conference. It emphasizes the need for collaboration between data engineers and source systems, especially in the age of AI. The discussion also explores how AI is revolutionizing data interactions and automating routine tasks. Additionally, it addresses the changing roles of data engineers as they adopt actionable workflows, uniting the fields of software engineering, AI, and data science.
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Shifting Left and Right
- Joe Reis reflects on the Data Engineering Lifecycle from his book, noting its surprising relevance.
- He observes a shift in data engineering, expanding both "left" (closer to source systems) and "right" (into data serving).
New Data Interfaces
- New interfaces like text-to-SQL and AI-powered agents are changing how we interact with data.
- These interfaces offer more ways to access and analyze data beyond traditional methods.
The Future of BI
- Joe Reis discusses the future of Business Intelligence (BI) in the age of AI.
- He believes BI will coexist with AI, addressing the adoption challenge rather than being replaced.