The Definitive Technical Guide to Modern Data Architecture (2026 Edition)
A deeply technical implementation manual for building a scalable modern data stack. Featuring actual Terraform, dbt, Dagster, and Databricks code configurations.
A deeply technical implementation manual for building a scalable modern data stack. Featuring actual Terraform, dbt, Dagster, and Databricks code configurations.
Stop scheduling batch jobs. Learn how to build a real-time, event-driven ingestion layer using AWS S3, SQS, and Snowflake Snowpipe.
dbt is king for T-SQL transformations. But what happens when you need loops, complex dependency management, or non-SQL logic? We explore the hybrid approach.
We explore why the Data Lakehouse architecture is replacing traditional silos, offering the best of both data lakes and data warehouses for modern enterprises.
Snowflake is easy to use, and easy to overspend on. We share the query optimisation techniques that can save you a fortune.
Batch processing is practically dead. See how to architect real-time ingestion pipelines that power instant business decisions.