v0.3.0: Support PySpark UDF, one click deploy experience, Delta Lake Support

[hangfei]

In this release, we have added:

1. PySpark UDF preprocessing. Now users can define UDFs with all the capabilities that PySpark has.
2. Enhanced Feature Registry experience. Note: users might need to manually update the feature definitions in the purview service. This is a one-time work and future updates will be backward compatible.
3. Added one-click Azure resource provision and deployment. Users can deploy resources with Azure template.
4. Supported Delta Lake and more formats as input/output format.
5. Bug fixes and documentation improvement.

Full Change Log

• Fix register features by @tarockey in Fix register features #87
• Add support for Delta Lake by @xiaoyongzhu in Add support for Delta Lake #95
• Adding Pyspark UDF support by @hangfei in Adding Pyspark UDF support #107
• One click deployment for Feathr on Azure by @xiaoyongzhu in One click deployment for Feathr on Azure #116
• Rewrite feature registry with new Pythonic APIs and add tagging support by @xiaoyongzhu in Rewrite feature registry with new Pythonic APIs and add tagging support #105

New Contributors

• @tarockey made their first contribution in Fix register features #87
• @windoze made their first contribution in Windoze/data source refactor #101

Full Changelog: v0.2.1...v0.3.0

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This discussion was created from the release v0.3.0: Support PySpark UDF, one click deploy experience, Delta Lake Support.