Dataputkissa
Dataputkissa is a Finnish term used in data engineering to describe the end-to-end flow of data through a pipeline from source systems to analytical destinations. The word is formed from data and putki (pipe) with the inessive suffix -ssa, roughly translating to “in the data pipe.” The concept is commonly used to discuss how data moves, is transformed, and is delivered for analysis.
In practical terms, dataputkissa covers the stages of data ingestion, processing or transformation, storage, and consumption.
There are multiple modes within dataputkissa. Batch and streaming are common variants, with ETL (extract, transform,
Limitations of the concept include the risk of oversimplifying data quality and governance. Real-world implementations require
See also: data pipeline, ETL, ELT, data lake, data warehouse, data lineage.