One table. Temporal joins. No foreign keys. Activity Schema is a radical simplification for event analytics - here’s when it makes sense and what tradeoffs to expect.

When should you explore vs. exploit? Thompson Sampling offers an elegant Bayesian answer to this fundamental trade-off. A practical framework for A/B testing, dynamic pricing, and any decision where you’re balancing learning against optimization.

A step-by-step guide to deploying Mautic 5.x on Kubernetes with Helm, including the background job architecture data engineers need to understand for reliable integrations.

A hands-on guide to building a Data Lakehouse with Apache Iceberg. Covers table specifications, atomic transactions, schema evolution, hidden partitioning, time travel queries, and maintenance procedures using Spark and Trino with a local MinIO setup.

Build a serverless, cost-efficient data lake on AWS using Kinesis Firehose, S3, Glue, and Athena. Learn dynamic partitioning, JSON vs Parquet trade-offs, and query optimization techniques that keep your AWS bill under a dollar.