For the last few decades, the data warehouse has mostly been seen as a platform for reporting and analytics, but as the center of gravity for data shifts towards the data warehouse, data warehouses are increasingly being used for operations. Operational use cases for the data warehouse range from predicting flight delays in near real-time to equipping sales and customer success teams with contextual customer data to powering in-app personalization.
In this panel, we'll bring guests ranging from technology executives to data practitioners to discuss how and why companies are using warehouses for operations today, the challenges in operationalizing warehouses, and the technological advancements that could unlock the warehouse to become the de facto data platform for operations.
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00:00 Introduction
02:05 What is reverse ETL and the operational data warehouse?
09:19 Why is the warehouse involved?
12:17 What are the challenges in using a data warehouse for operational analytics
15:18 Why would you use a warehouse in the flow versus just use a CDP?
19:42 What are the top two or three use cases where people could use to get started?
23:09 How do you set up your data platform to actually be used by the end users in the rest of your company?
31:09 Why is it called Reverse ETL?
32:53 How would you go about documenting all of these syncs in a world where there's a proliferation of Reverse ETL?
