Adobe Data Distiller Guide

Adobe Data Distiller Guide
Foreword
Unit 1: Prerequisites
PRE 106: Ingesting CSV Data into Adobe Experience Platform
PRE 107: Ingesting JSON Test Data into Adobe Experience Platform
PRE 200: Generative SQL with Microsoft GitHub Copilot, Visual Studio Code and Data Distiller
Unit 2: DATA DISTILLER EXPLORATION
Unit 3: DATA DISTILLER DERIVED ATTRIBUTES
Unit 4: DATA DISTILLER IDENTITY STITCHING
- ID 100: Identity Graph Overview
- ID 200: Channel Identity Lookup Table from Profile Attribute Snapshot Data
Unit 5: DATA DISTILLER AUDIENCES
- DDA 100: Audiences Overview
- DDA 300: Audience Overlaps using Profile Attribute Snapshot Datasets
Unit 6: Data Distiller Insights
Unit 7: DATA DISTILLER STATISTICS
UNIT 8: DATA DISTILLER ORCHESTRATION
- ORCH 200: Chaining of Data Distiller Jobs
- ORCH 300: Incremental Processing Using Checkpoint Tables
UNIT 9: DATA DISTILLER FUNCTIONS & EXTENSIONS
- FUNC 300: Privacy Functions
- FUNC 400: Lambda Functions: Exploring Similarity Joins
UNIT 10: DATA DISTILLER ACTIVATION
About the Author

Powered by GitBook

Adobe Data Distiller Guide

Last updated 11 days ago

On this page