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RVU shares how they use Google Cloud Dataproc and Serverless Apache Spark to power hyper-personalization across their consumer brands (Confused.com, Uswitch, Money.co.uk, etc.).
•Feature engineering for ML models, previously taking weeks, now completes in days using Serverless for Apache Spark
•A new contractor can deliver a full model including EDA and feature engineering in just one and a half weeks
•BigQuery serves as the unified data platform for over a decade, with Dataproc handling high-speed Spark processing on top
•The integrated Google Cloud ecosystem (BigQuery + Dataproc + Serverless Spark) enables real-time personalization powered by billions of behavioral data points
•Engineers no longer manage cluster infrastructure manually — data processing jobs run with a single button click in ~10 minutes
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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