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Materialized Views in Hive for Iceberg Table Format

Cloudera

Subsequently, these snapshot IDs are used to determine the delta changes that should be applied to the materialized view rows. Hive does this by asking the Iceberg library to return only the rows inserted since that table’s last snapshot when the materialized view was last rebuilt/created.

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How to Use Apache Iceberg in CDP’s Open Lakehouse

Cloudera

With Iceberg in CDP, you can benefit from the following key features: CDE and CDW support Apache Iceberg: Run queries in CDE and CDW following Spark ETL and Impala business intelligence patterns, respectively. To control costs we can adjust the quotas for the virtual cluster and use spot instances. 6 2003 6488540.