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.
Highlighted Changes
* Fix register features by tarockey in https://github.com/linkedin/feathr/pull/87
* Add support for Delta Lake by xiaoyongzhu in https://github.com/linkedin/feathr/pull/95
* Adding Pyspark UDF support by hangfei in https://github.com/linkedin/feathr/pull/107
* One click deployment for Feathr on Azure by xiaoyongzhu in https://github.com/linkedin/feathr/pull/116
* Rewrite feature registry with new Pythonic APIs and add tagging support by xiaoyongzhu in https://github.com/linkedin/feathr/pull/105
New Contributors
* tarockey made their first contribution in https://github.com/linkedin/feathr/pull/87
* windoze made their first contribution in https://github.com/linkedin/feathr/pull/101
**Full Changelog**: https://github.com/linkedin/feathr/compare/v0.2.1...v0.3.0