Funnel analysis pipeline - ingesting data into Druid
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Funnel analysis pipeline - Druid datasources
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Funnel analysis - simple use-case revisited
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Funnel analysis pipeline - Enricher
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Funnel analysis pipeline - querying Druid (SQL)
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Funnel analysis - complex use-case
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A few tips
Description:
Explore funnel analysis techniques for measuring advertising campaign effectiveness using Apache Spark and Druid in this 26-minute talk from Databricks. Learn how to combine Spark, Druid, and DataSketches to perform complex funnel analysis at scale, addressing challenges such as tracking chronological event order and distinct user interactions across multiple campaign phases. Discover the architecture of a funnel analysis pipeline, including data lake integration, mart generation, and data enrichment. Gain insights into Druid's capabilities for roll-up operations, Theta Sketch module for count distinct queries, and SQL querying for advanced funnel analysis scenarios. Acquire practical tips for implementing these techniques to evaluate and optimize large-scale advertising campaigns.
Funnel Analysis with Apache Spark and Druid for Advertising Campaign Effectiveness