Designing Your Data-Centric Organization
summary
Companies pivot manufacturing value into software by building 24 data-driven applications that generate $400 million from predictive maintenance and clinical outcomes. The stack centers on Hadoop + Tableau for batch ETL, interactive exploration and scaling beyond legacy Teradata, with Hive/Pig proving limited for interactive SQL and data science workflows. Examples include a Kaiser codeathon correlating weather, patient and pharmacy data to predict ER admissions and American Express using mined social data to power real-time offers in mobile apps.
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