Description:
Integrate a “Spark Tuning Advisor” within GeoAnalytics Engine that analyzes job metadata (record count, join type, cluster config) and recommends optimal Spark parameters.
Justification:
GeoAnalytics Engine performance depends heavily on Spark tuning. Automated guidance would help teams scale efficiently across data sizes.
Impact:
Improves job runtime, reduces cluster costs, and makes GeoAnalytics accessible to non-Spark experts.
