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Use cases
=========
ETL applications
----------------
In LorryStream_, we use Streamz at the core for relaying data from streaming
sources into CrateDB_, because we have been looking for something smaller
and more concise than Beam, Flink, or Spark. Streamz gives us the freedom
to use advanced stream processing and flow control primitives within Python
applications to feed databases, without the need to spin up compute clusters,
or deal with Java class paths.
In this spirit, LorryStream is effectively just a humble CLI interface for
Streamz.
Telemetry readings
------------------
At my company, we use it at two different points in our data processing to
create a disjoint subcover of a noisy stream of telemetry readings and then
blend in metadata from users and external authoritative resources to give
users an understanding of what (and what kinds of) events are happening in
their space.
.. _CrateDB: https://github.com/crate/crate
.. _LorryStream: https://lorrystream.readthedocs.io/
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