https://community.esri.com/t5/arcgis-enterprise-ideas/dynamic-scaling-advisor-for-geoanalytics-engine/idi-p/1664832 <P><STRONG>Description:</STRONG><BR />Integrate a “Spark Tuning Advisor” within GeoAnalytics Engine that analyzes job metadata (record count, join type, cluster config) and recommends optimal Spark parameters.</P><P><STRONG>Justification:</STRONG><BR />GeoAnalytics Engine performance depends heavily on Spark tuning. Automated guidance would help teams scale efficiently across data sizes.</P><P><STRONG>Impact:</STRONG><BR />Improves job runtime, reduces cluster costs, and makes GeoAnalytics accessible to non-Spark experts.</P> Tue, 11 Nov 2025 04:12:26 GMT VenkataKondepati 2025-11-11T04:12:26Z https://community.esri.com/t5/arcgis-enterprise-ideas/dynamic-scaling-advisor-for-geoanalytics-engine/idi-p/1664832 <P><STRONG>Description:</STRONG><BR />Integrate a “Spark Tuning Advisor” within GeoAnalytics Engine that analyzes job metadata (record count, join type, cluster config) and recommends optimal Spark parameters.</P><P><STRONG>Justification:</STRONG><BR />GeoAnalytics Engine performance depends heavily on Spark tuning. Automated guidance would help teams scale efficiently across data sizes.</P><P><STRONG>Impact:</STRONG><BR />Improves job runtime, reduces cluster costs, and makes GeoAnalytics accessible to non-Spark experts.</P> Tue, 11 Nov 2025 04:12:26 GMT https://community.esri.com/t5/arcgis-enterprise-ideas/dynamic-scaling-advisor-for-geoanalytics-engine/idi-p/1664832 VenkataKondepati 2025-11-11T04:12:26Z