Topic

#tools

Illustrated overview of How Teams Cut Warehouse Costs by 60% with Query Optimization (Sponsored Example)

Tools

Aug 28, 20269 min readSponsored

How Teams Cut Warehouse Costs by 60% with Query Optimization (Sponsored Example)

A template sponsored post showing how to feature a partner product: a realistic case study structure with a clear sponsored label.

tools
cost-optimization

Azure

Aug 26, 202612 min read

Azure Data Engineering in 2026: Data Factory, Synapse, and Where Fabric Fits

A practical guide to the Azure data platform: when to use Data Factory, what happened to Synapse, and how Microsoft Fabric changes the picture.

azure
cloud
tools

Illustrated overview of The AWS Data Engineering Stack: Which Service Does What (and What to Skip)

AWS

Aug 24, 202612 min read

The AWS Data Engineering Stack: Which Service Does What (and What to Skip)

S3, Glue, Kinesis, Redshift, Athena, EMR, Lambda — a map of the AWS data services, what each is actually for, and the combinations that work in practice.

aws
cloud
tools

Illustrated overview of Airflow vs Dagster vs Prefect in 2026: Which Orchestrator Should You Pick?

Tools

Aug 22, 202612 min read

Airflow vs Dagster vs Prefect in 2026: Which Orchestrator Should You Pick?

An honest comparison of the three major Python orchestrators: where each one shines, where each one hurts, and a simple decision rule.

airflow
orchestration
tools

Tools

Aug 17, 202611 min read

Snowflake vs Databricks in 2026: Pick the Workload, Not the Logo

An honest head-to-head: SQL warehousing vs Spark lakehouse, Iceberg interoperability, Cortex vs Mosaic, and when you actually need both.

snowflake
databricks
tools

Databricks

Aug 11, 202610 min read

Delta Lake vs Apache Iceberg: Default on Databricks vs Shared Lake

Table-format choice in 2026: deletion vectors, catalogs, and which engine you are willing to lock in.

databricks
snowflake
tools