Use Cases of Materialization
- Aggregation and roll-up: The materialization view is applied to the existing aggregations, summaries, and roll-up operations, and it facilitates the sufficient analysis of data at the different levels of granularity.
- Report Generation: These are valuable for generating reports and dashboards, where fast access to the data is important for decision-making.
- Data Warehousing: Materialization views are mainly used for data warehousing environments to improve the performance of the query and support complex analytical queries against large datasets.
- Caching: The materialization of a large view can serve as the caching mechanism for repeatedly accessed queries, reduce the usage of results from the recompute, and improve the performance of the total application.
Materialization View in DBMS
A materialization view is nothing but a snapshot or materialized query table. It is a database object that stores the results of the query table. Materialized views in the Database Management System (DBMS) work as the existing snapshots of the data, reducing the computational overhead. Unlike standard views, which are data that is virtually dynamically generated when the materialization view contains original data that exists in the database until the data is modified or truncated.
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