- Cadence
- Weekly
- Latest
- 2026-11-01
- Based on
- 12 recent issues
- Covers: Critiques of data architecture trends, enterprise AI hype, industry shifts, and data engineering career realities.
- For: Data engineers, architects, technical leaders, and enterprise data practitioners.
- Best for: Data professionals seeking honest commentary on industry dynamics and tooling trends.
- Skip if: People looking for beginner coding tutorials or non-technical business news.
Start with
- The Ghost of Watson Past: Why Enterprise AI Hype Still Eats Startups Alive: Explores historical enterprise AI failures and lessons for current AI startups.
- The Pendulums of Data: Analyzes the cyclical shifts between centralization and decentralization in data architectures.
- Are Data Teams Cooked?: Examines vendor claims around AI agents replacing data engineers and analysts.
Sponsors seen
- FivetranSponsor
Presented by Fivetran Everyone wants to talk about autonomous AI agents, but if your agents make decisions on stale data from broken pipelines
This Year’s Better Mousetrap: New Tech, Same Old Problems, and The Semantic Swamp · 2026-09-27 - FivetranSponsor
Presented by Fivetran Everyone wants to deploy AI agents, and here’s the hard truth
Nobody Knows... · 2026-09-13 - FivetranSponsor
Presented by Fivetran Everyone wants to deploy AI agents, and the hard truth is that agents making operational decisions on stale data
Why Write Books These Days? · 2026-09-19 - FivetranSponsor
Presented by Fivetran Your pipeline works great for 3 data sources. But what happens when you hit 30? Or 300?
Are Data Teams Cooked? · 2026-09-06