Materialized Views in Hive for Iceberg Table Format
Cloudera
FEBRUARY 8, 2024
It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same time. Subsequently, these snapshot IDs are used to determine the delta changes that should be applied to the materialized view rows.
88 
Let's personalize your content