AI & ML Research 24 Hours

Last updated: July 11, 2026, 8:30 AM ET

Data Engineering & AI Infrastructure

A new post details building a second ETL pipeline with Python, Docker, Postgre SQL, and Kestra. For those looking to deepen their PySpark skills, a guide explores intermediate concepts including partitions, shuffles, joins, caching, and execution plans. Separately, a discussion argues that Retrieval Augmented Generation (RAG) systems, and by extension vector databases, are a temporary solution. The author suggests the next wave of AI infrastructure will depend on persistent neural state and strict latency budgets.