#DataEngineering #ELT #StitchData #DataIntegration #DataStack
Before Stitch, many teams wrote custom Python/Scala extraction scripts. Stitch (and tools like Fivetran) made extraction a commodity. Today’s data engineers spend less time dealing with API rate limits or pagination — and more time on modeling, governance, and quality. stitch data integration platforms company data engineering
Here’s a concise, professional LinkedIn post about Stitch as a data integration platform in the context of modern data engineering. Stitch, Data Integration, and the State of Data Engineering and quality. Here’s a concise
Stitch focused on doing one thing well: replicating data from 100+ sources to a cloud data warehouse. No pipelines to maintain, no DAGs to debug. That freed engineers to focus on transformation (dbt, SQL, etc.) rather than extraction. etc.) rather than extraction.