What problem does it solve? Migrating a Hadoop ecosystem (Hive, HDFS, Oozie, Sqoop, Ranger/Kerberos) to Databricks is error-prone when done by hand: DDL conversion, reconciliation, orchestration conversion, and cutover each carry risks of silent data loss or broken governance. This Skill provides an operational playbook that enforces discovery-first analysis, a human approval gate, and deterministic generators instead of hand-written SQL. ## Core Features & Use Cases - Manual Discovery Playbook: Step-by-step Beeline, HDFS, YARN, Oozie, and Ranger commands to inventory Hive schemas, volumes, jobs, and security policies, since no dedicated Hive MCP exists. - Deterministic Conversion: Runs scripts/hive_generate.py to convert raw SHOW CREATE TABLE output into Delta Lake DDL and scripts/reconcile_generate.py to produce two-phase reconciliation SQL, with gates that fail loudly on errors. - Full Migration Lifecycle: Covers complexity scoring and wave planning, Oozie to Lakeflow Jobs conversion, Ranger/Kerberos to Unity Catalog mapping, CDC strategy, and a cutover/rollback runbook with numeric rollback thresholds. - Use Case: A data platform team decommissioning a CDH cluster uses this Skill to inventory 200 Hive tables, generate an approved migration SPEC, convert DDL deterministically, reconcile snapshots before enabling CDC, and execute a phased cutover with documented rollback criteria. ## Quick Start Ask the agent to start discovery for migrating your Hive databases to Databricks by providing the output of SHOW CREATE TABLE for your tables.