Answer Posted / Anju Upadhyay
Spark SQL differs from Hive Query Language (HQL) and Structured Query Language (SQL) because it provides a high-level abstraction for working with structured data. While HQL uses Hive's SQL dialect to execute queries, Spark SQL supports multiple data sources like Cassandra, MongoDB, or Parquet files and can be integrated with other Spark components.
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