feat(hadoop): embedded lakehouse analytics + Impala/Hive vs Trino comparison

Adds an Analytics sub-tab to the Hadoop view with live KPIs and revenue
breakdowns (by year/region/category/channel) queried from Trino over
iceberg.hadoop.historical_sales, plus a query-engine comparison panel. Trino
latency is measured live; Impala and Hive are shown as clearly-labelled
representative figures (those engines are not deployed). New cached endpoints
/api/hadoop/analytics and /api/hadoop/engines.

api/main.py

@@ -39,6 +39,7 @@ from presentation_static import get_static_deck, list_static_decks
 from storage_s3 import router as storage_s3_router
 from hdfs_api import router as hdfs_router
 from pipeline_ops import router as pipeline_router
+from hadoop_analytics import router as hadoop_router
 from elasticsearch_api import router as elasticsearch_router
 from sql_console import router as sql_router
 from ssh_terminal import ssh_session
@@ -721,6 +722,7 @@ app = FastAPI(title="ATC Command Center API", lifespan=lifespan)
 app.include_router(storage_s3_router)
 app.include_router(hdfs_router)
 app.include_router(pipeline_router)
+app.include_router(hadoop_router)
 app.include_router(elasticsearch_router)
 app.include_router(sql_router)
 app.add_middleware(