docs: Add blog posts for BatchFeatureView and Spark on Kubernetes#6444
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…eatureView Signed-off-by: abhijeet-dhumal <abhijeetdhumal652@gmail.com>
…as the running example Signed-off-by: abhijeet-dhumal <abhijeetdhumal652@gmail.com>
Signed-off-by: abhijeet-dhumal <abhijeetdhumal652@gmail.com>
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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.