How Databricks and Tableau customers are fueling innovation with data lakehouse architecture
Tableau
JUNE 8, 2021
This raw data often goes through a number of transformation steps: clean and prepare, apply business rules, feature engineering, classification, scoring, and so on. . Aggregated results are then pulled into a data warehouse , or semantic layer, where business users can interact with the data using business intelligence tools. .
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