Advanced Techniques for Altering Materialized Views in BigQuery || GCP tutorial for beginners
#technology #materializedviews #bigquery
Welcome to RR Digital GCP data engineer training...!!!
Explore advanced techniques for altering materialized views in BigQuery, including strategies for optimizing performance and efficiently refreshing data. Learn how to effectively manage schema changes, incorporate partitioning, and leverage clustering keys for improved query performance. Dive into best practices for maintaining materialized views to ensure consistency and reliability in your data analytics workflows.
You can alter a materialized view through the Google Cloud console or the bq command-line tool, by using data definition language (DDL) with ALTER MATERIALIZED VIEW and SET OPTIONS. For a list of materialized view options, see materialized_view_set_options_list.
Materialized view alters query syntax: ALTER MATERIALIZED VIEW 'testing.empMatView1' SET OPTIONS (refresh_interval_minutes = 05);
Note: minimum refresh interval 1 min and max 7 days.
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