The terminology(SQL/Hive) should be unified

The word “Hive” is used abruptly only once on this page. It is my understanding that this page contrasts Spark and SQL. Therefore, I think the terminology should be unified.

Author: ecormaksin

articles/synapse-analytics/overview-what-is.md

@@ -37,7 +37,7 @@ ms.reviewer: whhender
 
 Azure Synapse removes the traditional technology barriers between using SQL and Spark together. You can seamlessly mix and match based on your needs and expertise.
 
-* Tables defined on files in the data lake are seamlessly consumed by either Spark or Hive.
+* Tables defined on files in the data lake are seamlessly consumed by either Spark or SQL.
 * SQL and Spark can directly explore and analyze Parquet, CSV, TSV, and JSON files stored in the data lake.
 * Fast, scalable data loading between SQL and Spark databases