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Data Warehouse / Transaction Database

Jan 17th, 2020
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  1. Data Warehouse
  2. Analytics, reporting, big data.
  3. Data collected and normalized from many sources.
  4. Bulk write operations typically on a predetermined batch schedule.
  5. De-normalized schemas, such as the Star schema or Snowflake schema.
  6. Optimized for simplicity of access and high-speed query performance using columnar storage.
  7. Optimized to minimize I/O and maximize data throughput.
  8.  
  9. Transactional Database
  10. Transaction processing
  11. Data captured as-is from a single source, such as a transactional system
  12. Optimized for continuous write operations as new data is available to maximize transaction throughput
  13. Highly normalized, static schemas
  14. Optimized for high throughout write operations to a single row-oriented physical block
  15. High volumes of small read operations
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