Created
October 27, 2023 16:44
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Feature/Functionality | Operational Data Layer | Data Warehouse | |
---|---|---|---|
Purpose | Real-time operational support | In-depth analysis and reporting | |
Data Latency | Near real-time | Typically batch-loaded (daily/weekly) | |
Data Freshness | Current, transient data | Historical, aggregated data | |
Update Frequency | Frequently (real-time or near real-time) | Infrequently (during ETL processes) | |
Schema Design | Typically normalized | Star, snowflake, or galaxy schema | |
Primary Users | Business operations, front-line applications | Business analysts, data scientists | |
Query Complexity | Simple, operational queries | Complex, ad-hoc analytical queries | |
Data Lifespan | Short-term, constantly updated | Long-term, provides historical view | |
Integration Process | Minimal transformation, quick integration | Extensive ETL processes, deeper integration |
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