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The End-to-End Semantic Layer
From dbt to Cube, and Back to dbt
May 27
•
Egor Tarasenko
6
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Hive Data Ingestion, Simplified
From raw S3 files to analytics-ready tables with Trino, dbt, and AWS Glue Catalog
May 12
•
Egor Tarasenko
PowerSchool to Lakehouse: Student Data at Uncommon Schools
How Trino enables low-latency ingestion of student records at scale
May 6
•
Egor Tarasenko
Airflow Schedule Insights: Now Ready for Airflow 3
Example Educational DAGs, Asset Trees, and Full Visibility into Complex Dependencies
Mar 9
•
Egor Tarasenko
1
From AI Conversations to BI Charts
Visualizing semantic-layer analytics with Cube and AI
Feb 17
•
Egor Tarasenko
1
From Semantic Layers to Conversations
Turning Cube.js analytics into a natural-language interface with RAG
Jan 26
•
Egor Tarasenko
4
2
RAG Isn’t Enough: Structuring Documents Instead of Just Retrieving Them
An open-source approach to turning PDFs and DOCX files into structured datasets with LLMs
Jan 6
•
Egor Tarasenko
4
1
Incremental CI for dbt: Stop Rebuilding Everything From Scratch
Test your dbt models against real production data for more accurate CI results
Dec 8, 2025
•
Egor Tarasenko
1
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Data & AI Engineering @ Ponder
Writings on AI Engineering & Data Engineering, from the team at ponder.co
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