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Data engineering & NL2SQL insights
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July 5, 2026
One EC2 Box vs an EMR Cluster: Converting 256 GB of JSON to Parquet
Four engines and two AWS approaches on the Spotify Million Playlist Dataset. The result that survived isn't which engine wins - it's that disk throughput and streaming, not cores or RAM, set the clock.
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July 4, 2026
Spark, Trino, Polars, and DuckDB on 157 GB of TPC-H: What SF400 Actually Reveals
A hands-on benchmark of four query engines on the TPC-H SF400 dataset - one where a single node doesn't just tie an 80-vCPU cluster, it beats it outright.
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June 27, 2026
Pixels vs. Numbers: PDF Charts Your RAG Can Query
The same investor-deck bar chart through two open-source PDF parsers. One returns a JPEG; the other returns a table you can query. A step-by-step look at why the pipelines diverge — and what it means for RAG.
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June 3, 2026
Inside the NL2SQL Pipeline: A Full Walkthrough
An end-to-end tour of every stage a natural-language question passes through — from the input guard to the trust badge on the final result.
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May 13, 2026
A Semantic Layer Is Necessary - But It Is Not Everything You Need
A response to Omni Analytics: a semantic layer matters, but treating it as the whole answer recreates the same NL-to-SQL failures one level up.
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April 7, 2026
Multi-Agent RAG solution for Natural Language to SQL pipeline
How matching new questions against validated queries eliminates hallucinations in NL-to-SQL systems.
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March 14, 2026
Getting Started with NL2SQL
Learn how to turn your natural language questions into precise SQL queries using NL2SQL — no SQL expertise required.
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February 28, 2026
Understanding Natural Language to SQL
A deep dive into how NL2SQL translates human language into structured database queries using Multi-Agent RAG and LLMs.
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February 14, 2026
Snowflake TPC-H Schema Guide
An overview of the TPC-H schema used in NL2SQL — tables, relationships, and common query patterns.
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