docs: Add blog posts for BatchFeatureView and Spark on Kubernetes - #6444
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…eatureView Signed-off-by: abhijeet-dhumal <abhijeetdhumal652@gmail.com>
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## master #6444 +/- ##
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Coverage 45.86% 45.86%
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Files 412 412
Lines 48763 48763
Branches 6913 6913
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+ Hits 22366 22367 +1
Misses 24849 24849
+ Partials 1548 1547 -1
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Summary
Adds two blog posts documenting features enabled by #6310, #6311, and #6317.
Blog 1: From Local to Production: BatchFeatureView + Spark on Kubernetes
query+pathSparkSource pattern — features compute once at materialize time, training reads pre-computed parquet (no UDF re-execution per experiment). CoversTransformationMode.PYTHONand offline-only BFVs for training labels.feature_store.yaml.Blog 2: GPU-Accelerated Embedding Pipelines with Feast, Spark & Milvus
End-to-end guide for RAG on existing Spark GPU infrastructure —
pandas_udfembedding BFV, Milvus online store, baked executor image, incremental materialization, andretrieve_online_documents_v2()serving.