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Data Engineering Weekly

@data_weekly

Weekly Data Engineering Newsletter. Subscribe to dataengineeringweekly.com | Wanna talk about Data engineering? Book Me here calendly.com/apackkildurai

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linkhttp://www.dataengineeringweekly.com calendar_today08-11-2020 22:20:19

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What can data engineering learn from the manufacturing industry? All we do is manufacture data (material-ize) by moving from one S3 bucket to another. I wrote about the emerging AI-Native Data Stack. Please read and share your thoughts. dataengineeringweekly.com/p/the-dawn-of-…

Ananth Packkildurai (@ananthdurai) 's Twitter Profile Photo

What do you think of a system of agents? What would be the impact of the system of agents system design in Data Engineering? dataengineeringweekly.com/p/data-enginee…

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🎙️ New DEW pod: Bauplan CTO Jacopo Tagliabue on function-native pipelines, immutable versioning, Arrow-powered speed, and why vertical > horizontal for most 10–100 GB jobs. Apple:podcasts.apple.com/us/podcast/ins… Spotify:open.spotify.com/episode/5xebhI… Substack:dataengineeringweekly.com/p/insights-fro…

Ananth Packkildurai (@ananthdurai) 's Twitter Profile Photo

Dimensional Modeling or data vault, which one is better? Property graph vs RDF, which one is best for metadata? All these techniques are defined for human-in-the-loop. The goal of a DW is to provide accurate metrics in a timely fashion. Do we still model the data for humans?

Dimensional Modeling or data vault, which one is better? Property graph vs RDF, which one is best for metadata? All these techniques are defined for human-in-the-loop. The goal of a DW is to provide accurate metrics in a timely fashion. Do we still model the data for humans?
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I just apologized to my Claude Code. It truly deserves sympathy—stuck untangling a Jackson dependency issue that no AI should ever have to endure. Some battles are timeless, and Jackson always finds a way to remind us.