{
  "key_concepts": [
    "Hive architecture",
    "Hive data types (primitive and complex)",
    "Hive built-in functions",
    "Hive configuration parameters",
    "Partitioning and partition pruning",
    "Bucketing and bucketed tables",
    "HiveQL commands (DDL and DML)"
  ],
  "primary_domain": "technical",
  "use_cases": [
    "Screen candidates for a data engineering role who must author and optimize HiveQL queries and table schemas",
    "Validate an applicant's ability to design partitioned and bucketed Hive tables for performance and storage efficiency",
    "Assess knowledge required to configure and manage Hive deployments (metastore, execution settings) in a Hadoop environment"
  ]
}