Three data marts, three truths about sales: the bus matrix as common ground
Kimball bus matrix to align isolated data marts: conformed dimensions, business processes and comparable sales. Real insurance group case.

Kimball bus matrix to align isolated data marts: conformed dimensions, business processes and comparable sales. Real insurance group case.

Range partitioning on an 800-million-row fact table: from 12-minute quarterly queries to 40 seconds. Monthly implementation, exchange and local indexes.

Ragged hierarchy in the data warehouse: balancing unbalanced trees with the self-parenting technique. Correct drill-down on customers and groups.

SCD Type 2 in the data warehouse: historicising dimensions with surrogate keys and validity dates. Real case: a customer dimension that evolves over time.

Data warehouse: fact table grain determines which questions you can answer. Common mistakes in granularity and their impact on the dimensional model.
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