Jet Global
AUGUST 14, 2019
Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing.
Jet Global
OCTOBER 2, 2019
Which problems do disparate data points speak to? And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing.
O'Reilly on Data
OCTOBER 19, 2021
Data is at the core of any ML project, so data infrastructure is a foundational concern. ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses. The iteration cycles should be measured in hours or days, not in months.
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