Data & AI Engineering @ Ponder

Superset Doesn't Know What Environment You're In

A one-click dashboard promotion plugin for Apache Superset — swap connections, auto-create datasets, sync columns

Aug 10 • Egor Tarasenko

1

July 2026

dbt Meets graphify: Lineage Queries Without the Infrastructure

A pip-installable CLI that reshapes dbt's manifest.json into a graphify knowledge graph

Jul 30 • Egor Tarasenko

4

1

dbt Core vs dbt Cloud: You're Being Asked the Wrong Question

We deployed both at Uncommon Schools — because 'which one' was never the real decision

Jul 13 • Egor Tarasenko

1

June 2026

The dbt AI Stack, Upgraded

Graph, Knowledge Graphs, RAG, Reranking, and Full-Text Search, all working together for dbt

Jun 23 • Egor Tarasenko

Coder + Airflow: Managing Local Development Like a Pro

How to Give Every Developer an Isolated, Reproducible Airflow Environment That Spins Up in Minutes

Jun 10 • Egor Tarasenko

3

May 2026

The End-to-End Semantic Layer

From dbt to Cube, and Back to dbt

May 27 • Egor Tarasenko

7

1

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

March 2026

Airflow Schedule Insights: Now Ready for Airflow 3

Example Educational DAGs, Asset Trees, and Full Visibility into Complex Dependencies

Mar 9 • Egor Tarasenko

1

February 2026

From AI Conversations to BI Charts

Visualizing semantic-layer analytics with Cube and AI

Feb 17 • Egor Tarasenko

1

January 2026

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