Trivago aggregates billions of price data points to provide accurate price context to its users. By leveraging historic price data and utilizing tools like Kafka streams and BigQuery, they ensure quick and scalable data aggregation. Despite challenges related to data volume, coverage issues, and outlier detection, trivago
•11m read time• From tech.trivago.com
Table of contents
Why do we need aggregated price data?Our Solution: Price StreamChallengesCurrent features using Price StreamsLearningsNext stepsSort: