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https://issues.apache.org/jira/browse/GSOC-259?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maxim Solodovnik updated GSOC-259:
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Labels: Beam gsoc gsoc2024 (was: beam gsoc gsoc2024)
> [GSOC][Beam] Build out Beam Use Cases
> -------------------------------------
>
> Key: GSOC-259
> URL: https://issues.apache.org/jira/browse/GSOC-259
> Project: Comdev GSOC
> Issue Type: New Feature
> Reporter: Danny McCormick
> Priority: Major
> Labels: Beam, gsoc, gsoc2024
>
> Apache Beam is a unified model for defining both batch and streaming
> data-parallel processing pipelines, as well as a set of language-specific
> SDKs for constructing pipelines and Runners for executing them on distributed
> processing backends. On top of providing lower level primitives, Beam has
> also introduced several higher level transforms used for machine learning and
> some general data processing use cases. This project focuses on identifying
> and implementing real world use cases that use these transforms
> Objectives:
> 1. Add real world use cases demonstrating Beam's MLTransform for
> preprocessing data and generating embeddings
> 2. Add real world use cases demonstrating Beam's Enrichment transform for
> enriching existing data with data from a slowly changing source.
> 3. (Stretch) Implement 1 or more additional "enrichment handlers" for
> interacting with currently unsupported sources
> Useful links:
> Apache Beam repo - [https://github.com/apache/beam]
> MLTransform docs -
> [https://beam.apache.org/documentation/transforms/python/elementwise/mltransform/|https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml]
> Enrichment code -
> [https://github.com/apache/beam/blob/master/sdks/python/apache_beam/transforms/enrichment.py]
> Enrichment docs (should be published soon) -
> [https://github.com/apache/beam/pull/30187]
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