Overview
The Metric Acceleration section explains how to create materialized acceleration plans and how to operate and maintain those plans.
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Dataset field acceleration: Pre-join fact tables and dimension tables into a wider structure to reduce join overhead during queries.
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Metric and dimension combination acceleration: Pre-aggregate metrics by selected dimensions to reduce aggregation cost during queries.
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Materialization operations: Monitor and maintain materialization jobs.
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Manage materialized tables:
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View materialized table details: Regularly review metadata such as size, storage location, and dependencies.
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Update materialized table data: Keep materialized table data synchronized with source data.
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Manage materialization plans:
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Filter and view materialization plans by owner, dataset, metric, or dimension.
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Edit materialization plans, including adding, updating, or deleting plan definitions.
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Backfill materialized data:
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Backfill upstream dependencies.
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Backfill direct source tables.