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20 articles
Our 15-minute batch ETL caused a billing incident. Debezium reading the Postgres WAL replaced the entire pipeline. CDC setup, consumer patterns, and production gotchas.
A 47-second Postgres query took 120ms on ClickHouse. Columnar storage, vectorized execution, and why your analytics belong in OLAP.
Polars is 8.7x faster than pandas. DuckDB is 9.4x faster. Both handle larger-than-RAM data. Here's when to use each — with benchmarks.
Build a RAG chatbot with LangChain, OpenAI embeddings, and Neon PostgreSQL. pgvector, no Pinecone, full Python code, 30 minutes.
SQLMesh is 9x faster than dbt, with free dev environments. Fivetran-dbt merger raises lock-in concerns. Coalesce offers visual SQL. Decision framework.
SQL was born in 1973 at IBM, survived the NoSQL rebellion, and now powers 55.6% of all developers. Here's how.
Poor data quality costs $12.9M/year per enterprise. DataGovOps automates governance in CI/CD. EU AI Act makes it mandatory by August 2026.
IBM paid $11B for Confluent. 90% of enterprises adopt EDA. Kafka 4.0, Flink 2.0, and the Streamhouse vision are reshaping data infrastructure.
PostgreSQL won the Stack Overflow triple crown 3 years straight. With JSONB, pgvector, PostGIS, and full-text search, it replaces 5 databases.
The market says $200B by 2034. The data says 95% of agent projects fail before production. Here is what actually works.
When Graph RAG doubles retrieval accuracy and when it wastes your money. Benchmarks, costs, frameworks, and a decision framework.
Nearly 87% of ML projects never reach production. The failures aren't about models — they're about engineering.
Four years of building Azerbaijan's biggest job aggregator as a solo founder on $25/month infrastructure.
Graph databases find connections. Vector databases find similarities. When to use which, real benchmarks, and why PostgreSQL might replace both.
RAG tutorials teach the easy 20%. Here are the five production problems they skip — and how to actually solve them.
The real difference between correlated and non-correlated subqueries, with benchmarks, optimizer behavior, and the NOT IN NULL trap.
How I killed a 2,400-line Python ETL pipeline and replaced it with 300 lines of SQL using CTEs, materialized views, and pg_cron.
Honest comparison of Airflow, Dagster, and Prefect for data pipelines in 2026. Code examples, pricing, and what I actually use.
Most teams don't need Pinecone. pgvector benchmarks, decision framework, and when dedicated vector DBs actually make sense.
What actually works for web scraping in 2026: tools, stealth browsers, AI extractors, anti-detection, and the legal reality.