feat: Spark Workbench everywhere, autonomous Hadoop offload & LLM masking-aware
- Data Hub with Hadoop tab (HDFS/Iceberg browser, Spark, pipeline) - Databricks-style Lakehouse Workbench (Trino engine, live exec matrix, materialize to Iceberg/S3); reused & embedded in every source-DB UI - HDFS -> Kafka -> Spark -> Iceberg/S3 pipeline; WebHDFS hostname resolver - Data Flow master pulse switch (Run/Pause/Stop) gating animated edges - Data Custodian autonomous Hadoop offload loop (batch counterpart to CDC), pulsing source -> HDFS edges; toggle in Data Flow - LLM now autonomously aware of all latest platform changes (live platform context) and enforces masking policy: never reveals masked PII, still answers helpfully with aggregates/explanations
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<!DOCTYPE html>
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<html lang="en" class="light">
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<html lang="en" class="dark">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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