streamtransform
A streamtransform, or stream transformation, is a processing step in a data streaming pipeline that consumes an input stream and produces an output stream by applying a function to the incoming data. It operates continuously, processing records as they arrive rather than in discrete batches.
Transforms can be stateless, such as map or filter, which do not retain information between records, or
In practice, a streamtransform is implemented as an operator within a streaming framework, often as part of
Common use cases include real-time analytics, ETL, feature extraction for machine learning, alerting, and data enrichment.
Key considerations include maintaining data order, handling late-arriving data, managing state size and eviction, scaling to