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Funnel analysis pipeline - Druid datasources
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Classroom Contents
Funnel Analysis with Apache Spark and Druid for Advertising Campaign Effectiveness
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- 1 Introduction
- 2 The challenges
- 3 Campaign phases - user's point-of-view
- 4 Campaign phases - campaign owner's point-of-view
- 5 Views vs Unique Users
- 6 Introducing: Apache Druid
- 7 Roll-up - Simple Count (Views)
- 8 Druid architecture
- 9 Common use-cases for Druid
- 10 Druid in a nutshell
- 11 What is Theta Sketch?
- 12 Theta Sketch error
- 13 The Theta Sketch module in Druid
- 14 Roll-up - Count Distinct (Unique Users)
- 15 Funnel analysis pipeline - high-level architecture
- 16 Funnel analysis pipeline - Data Lake
- 17 Funnel analysis pipeline - Mart Generator
- 18 Funnel analysis pipeline - ingesting data into Druid
- 19 Funnel analysis pipeline - Druid datasources
- 20 Funnel analysis - simple use-case revisited
- 21 Funnel analysis pipeline - Enricher
- 22 Funnel analysis pipeline - querying Druid (SQL)
- 23 Funnel analysis - complex use-case
- 24 A few tips
