Building MVP: A Lightweight Big Data Analysis System for Product Growth

The article describes how a lightweight big‑data analysis platform called MVP was built from scratch—using a User‑Event‑Config model, HDFS + ClickHouse + Spark, and four modules for metric monitoring, root‑cause alerts, deep growth analysis, and A/B testing—enabling real‑time insights in seconds instead of days and dramatically accelerating product‑growth operations.

AARRR ModelClickHouseHDFS

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Building MVP: A Lightweight Big Data Analysis System for Product Growth

Meituan Technology Team

Mar 22, 2018 · Big Data

High-Performance User Behavior Analysis Solution for Massive Data

The paper describes a high‑performance user‑behavior analysis system that processes hundreds of billions of daily logs for Meituan‑Dianping, using an inverted‑index structure with bitmap UUID sets and timestamp sequences, combined with Spark, Spring and Alluxio optimizations to cut query times from hours to under five seconds.

Big DataOLAP analysisdistributed computing

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High-Performance User Behavior Analysis Solution for Massive Data