CASE STUDY Business Problem Overview Gaia’s business model depends on engaging viewers with unique and innovative streaming content. So, recommending the right content, to the right viewers, is critical. But the company’s legacy SQL rule-based recommendation engine “was very slow, very tedious, and not very accurate,” says senior data engineer Patty Vonick. It did little to drive viewer engagement, Vonick added. The company also had another problem: its technology architecture—which centered around an on-premises single- instance server and a Postgres data warehouse—was not sufficiently flexible or robust. Specifically, it couldn’t provide users access to data from different sources and could not handle the data workloads. In addition, modeling processes took too long, and freque

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