OLAP
Online Analytical Processing—a computing approach optimized for complex analytical queries across large datasets.
In Depth
OLAP (Online Analytical Processing) is a category of software technology that enables analysts, managers, and executives to gain insight into data through fast, consistent, interactive access. OLAP is optimized for read-heavy analytical workloads involving aggregations, grouping, filtering, and calculations across multiple dimensions. This contrasts with OLTP (Online Transaction Processing), which is optimized for high-volume transactional operations like inserts and updates. OLAP systems typically use columnar storage (storing data by columns rather than rows) for efficient aggregation, and support operations like drill-down (more detail), roll-up (less detail), slice (filter one dimension), and dice (filter multiple dimensions).
How AI for Database Helps
AI for Database generates OLAP-style analytical queries optimized for your data warehouse or database engine.
Related Terms
Data Warehouse
A centralized repository optimized for analytical queries across large volumes of historical data from multiple sources.
Business Intelligence
Technologies, practices, and strategies for collecting, integrating, analyzing, and presenting business data to support decision-making.
Aggregation
A SQL operation that computes a single result from a set of values, such as SUM, COUNT, AVG, MIN, or MAX.
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