Update resources-self-help-sql-on-demand.md

Removed mention of Azure Synapse Apache Spark 2.4

Author: jeacla

articles/synapse-analytics/sql/resources-self-help-sql-on-demand.md

@@ -677,7 +677,7 @@ If your query returns NULL values instead of partitioning columns or can't find
 
 The error `Inserting value to batch for column type DATETIME2 failed` indicates that the serverless pool can't read the date values from the underlying files. The datetime value stored in the Parquet or Delta Lake file can't be represented as a `DATETIME2` column.
 
-Inspect the minimum value in the file by using Spark, and check that some dates are less than 0001-01-03. If you stored the files by using the [Spark 2.4 (unsupported runtime version)](../spark/apache-spark-24-runtime.md) version or with the higher Spark version that still uses legacy datetime storage format, the datetime values before are written by using the Julian calendar that isn't aligned with the proleptic Gregorian calendar used in serverless SQL pools.
+Inspect the minimum value in the file by using Spark, and check that some dates are less than 0001-01-03. If you stored the files by using the higher Spark version that still uses legacy datetime storage format, the datetime values before are written by using the Julian calendar that isn't aligned with the proleptic Gregorian calendar used in serverless SQL pools.
 
 There might be a two-day difference between the Julian calendar used to write the values in Parquet (in some Spark versions) and the proleptic Gregorian calendar used in serverless SQL pool. This difference might cause conversion to a negative date value, which is invalid.