Event-Driven Data Ingestion: Architecting S3 to Snowflake with Snowpipe
Stop scheduling batch jobs. Learn how to build a real-time, event-driven ingestion layer using AWS S3, SQS, and Snowflake Snowpipe.
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.
The battle of the Python orchestrators. We compare the industry standard (Airflow) against the modern challenger (Prefect).
Fivetran, dbt, and Snowflake are great, but buying them doesn't make you modern. We explore the mindset shift required for the Modern Data Stack.
If your pipeline crashes halfway through, can you just restart it? If not, you have a problem. We explain why Idempotency is the golden rule of Data Engineering.
Data changes. Columns are added, types are modified. If your pipeline can't handle this, it's brittle. Here is how to handle Schema Evolution gracefully.