Remove Data Lake Remove Experimentation Remove Interactive Remove OLAP
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Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

Although these batch analytics-based efforts were successful to some extent, they saw opportunities to improve the customer experience with real-time personalization and security guidance during the customer’s interaction with the Poshmark app. User interactions on Poshmark web and mobile applications generate server-side events.

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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

Presto is an open source distributed SQL query engine for data analytics and the data lakehouse, designed for running interactive analytic queries against datasets of all sizes, from gigabytes to petabytes. Uber understood that digital superiority required the capture of all their transactional data, not just a sampling.

OLAP 87