Publication // Intelligence
Data Engineering Central
Technology · English
Data Engineering Central publishes a mix of interviews, technical essays, and podcast episodes focused on the intersection of data engineering and artificial intelligence, specifically covering topics like LLM serving, Rust-based infrastructure, and agentic workflows. The publication targets data engineers and infrastructure practitioners by providing frontline insights into tools such as Databricks, LakeSail, and Omnigent, alongside discussions on the evolving role of coding skills in an AI-driven landscape.
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Recent content
Databricks LLM (APIs)/Modeling Serving. Thoughts from the Frontline.
6dSponsor · Delta
The Future of Data Engineering in the Age of AI | Erfan Hesami
10dBack to the Basics. Threads.
12dSponsor · Delta
Big Tech Laid Him Off. He Realized He Didn’t Need a Job. — Asian Dad Energy
17dBack to the Basics. Recursion.
19dSpark Isn't Going Anywhere. So They Rebuilt It in Rust. — Shehab Amin, CEO of LakeSail
24dOmnigent. Too afraid to ask what a meta-harness for Agents is?
26dSponsor · Delta
The Polemic Against Cheap Code.
33dLakesail. Replacing Spark with Rust. But with Spark.
39dQuasi-Agentic Pipelines with Databricks and Apache Airflow
47dSponsor · Delta
Solution > Problem.
50dKeeping Technical Skills in the Age of the LLM
54dTopics
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Founder of Pipeline to Insights discussing the future of data engineering with AI.
Founder · Pipeline to Insights · 10d
Founder and CEO of Orchestra, discussing agentic data engineering
Founder and CEO · Orchestra · 66d