- Tutorial Overview
- Architecture Overview
- Video Overview
- 0 - Getting started
- 1 - Launch and the Web SDK extension
- Overview
- 1.1 Understanding Adobe Experience Platform Launch
- 1.2 Edge Network and Server Side Data Collection
- 1.3 Introduction to Launch
- 1.4 Client-side Web Data Collection
- 1.5 Implement Adobe Analytics and Adobe Audience Manager
- 1.6 Implement Adobe Target
- 1.7 XDM Schema requirements in Adobe Experience Platform
- Summary and benefits
- 2 - Data Ingestion
- 3 - Real-time Customer Profile
- 4 - Voice Assistant - Amazon Alexa
- 5 - ETL Tools
- 6 - Journey Orchestration
- 7 - Query Service
- 8 - Data Science Workspace - Popularity Based Recommendations
- 9 - Data Ingestion using Google Tag Manager and Google Analytics
- Overview
- 9.0 Create a Google Account
- 9.1 Create a Google Tag Manager Property
- 9.2 Setup Google Analytics & link it to GTM
- 9.3 Configure GTM Variables
- 9.4 Retrieve Data Sets in Platform
- 9.5 Configure GTM Tags & Triggers
- 9.6 Publish your GTM Property
- 9.7 Implement GTM Tag on Platform Demo website
- 9.8 Verify Data Ingestion from website into Platform
- Summary and benefits
- 10 - Data Science Workspace - Churn Prediction Model
- 11 - Real-time CDP - Build a segment and take action!
- Overview
- 11.1 Build a segment and enable Streaming Segmentation
- 11.2 Review how to configure DV360 Destination using Destinations
- 11.3 Take Action: send your segment to DV360
- 11.4 Take Action: Send your segment to Google AdWords RLSA using Adobe Audience Manager
- 11.5 Take Action: send your segment to an S3-destination
- 11.6 Take Action: send your segment to Adobe Target
- Summary and benefits
- 12 - Journey Orchestration - External Weather API, SMS Action and more…
- 13 - Customer Journey Analytics - Build a dashboard using Analysis Workspace on top of Adobe Experience Platform
- 14 - Offer Decisioning
- Overview
- 14.1 Offer Decisioning 101
- 14.2 Configure your Offers and Offer Activity
- 14.3 Prepare your Launch and Web SDK setup for Offer Decisioning
- 14.4 Test your Offer Activity using the demo website
- 14.5 Test your Offer Activity using the API
- 14.6 Test your Offer Activity using Journey Orchestration
- Summary and benefits
- 15 - Data Science Workspace - Car Insurance Sales Propensity
- 16 - Ingest and Analyze Google Analytics data in Adobe Experience Platform with the BigQuery Source Connector
- Overview
- 16.1 Create your Google Cloud Platform Account
- 16.2 Create your first query in BigQuery
- 16.3 Connect GCP & BigQuery to Adobe Experience Platform
- 16.4 Load data from BigQuery into Adobe Experience Platform
- 16.5 Analyze Google Analytics Data using Customer Journey Analytics
- Summary and benefits
- 17 - Adobe Experience Platform and Microsoft Dynamics 365
- Overview
- 17.1 Create your Microsoft Dynamics 365 account
- 17.2 Connect Microsoft Dynamics 365 to Adobe Experience Platform via a Source Connector
- 17.3 Create a Contact in Microsoft Dynamics 365 using Journey Orchestration & Import data from Microsoft Dynamics
- 17.4 Update a contact in Microsoft Dynamics 365 and automatically trigger a journey
- Summary and benefits
- 18 - Segment Activation to Microsoft Azure Event Hub
- Overview
- 18.0 Configure your environment
- 18.1 Configure your Microsoft Azure EventHub environment
- 18.2 Configure your Azure Event Hub Destination in Adobe Experience Platform
- 18.3 Create Streaming Segments
- 18.4 Activate Segment
- 18.5 Create your Microsoft Azure Project
- 18.6 End-to-end scenario
- Summary and benefits
- 19 - Adobe Experience Platform and ServiceNow: connecting service to marketing and sales
- Overview
- 19.1 Setup your ServiceNow developer instance
- 19.2 Install and configure the integration between ServiceNow and Adobe Experience Platform through Adobe I/O
- 19.3 Setup your ServiceNow environment
- 19.4 Setup your ServiceNow UI
- 19.5 Setup your ServiceNow Flow
- 19.6 Prepare End-to-end Demo
- 19.7 End-to-end Demo
- Summary and benefits
- 20 - AI-Driven Chat Apps and Live Chat powered by Stackchat
- Overview
- 20.1 Onboard to Stackchat
- 20.2 Build your Luma Bot
- 20.3 Build your Luma Bot - Cloud Functions
- 20.4 Use Journey Orchestration to trigger an email follow up after interacting with your chatbot
- 20.5 Configure the integration between Stackchat and Adobe Experience Platform
- 20.6 Test your chatbot on the demo website
- 20.7 Connect your chatbot to Facebook Messenger
- 20.8 Test the WeChat Integration
- Summary and benefits
2. Foundation - Data Ingestion
Author: Wouter Van Geluwe
In this module, the goal is to learn all about data ingestion. You’ll learn about data ingestion in Streaming and Batch. You’ll implement Streaming Data Ingestion by using Launch, so that the customer behavior on the Hands-On Lab website is streamed to Adobe Experience Platform in real-time. You’ll learn about Batch Data Ingestion by using an Adobe Experience Platform Workflow to take a CSV-file, map it against an XDM-schema and then ingest it into Adobe Experience Platform.
Learning Objectives
- Learn how to create an XDM Schema in Adobe Experience Platform
- Learn how to create Datasets in Adobe Experience Platform
- Learn how to create a streaming endpoint and configure the Adobe Experience Platform extension in Launch
- Learn how to create Rules in Launch to stream data to Adobe Experience Platform
- Learn how to integrate Adobe Experience Platform Launch onto a webpage
- Learn how to use an Adobe Experience Platform Workflow to ingest a CSV-file into Adobe Experience Platform
Prerequisites
- Access to Adobe Experience Platform: https://experience.adobe.com/platform
- Access to Adobe Experience Platform Launch: https://launch.adobe.com
- Access to https://public.aepdemo.net
- Access Postman
- This documentation has been created to facilitate hands-on, technical enablement around Adobe Experience Platform. In order to complete some of the modules, you’ll need to change some variables and replace them by your specific Environment Variables. Please contact your Adobe contact who will provide you with the required Environment Variables of your specific Adobe Experience Platform instance.
This tutorial was created to facilitate a particular workshop format. It uses specific systems and accounts to which you might not have access. Even without access, we think you can still learn a lot by reading through this very detailed content. If you’re a participant in one of the workshops and need your access credentials, please contact your Adobe representative who will provide you with the required information.
Architecture Overview
Have a look at the below architecture, which highlights the components that will be discussed and used in this module.
Sandbox to use
For this module, please use this sandbox: --module2sandbox--.
Don’t forget to install, configure and use the Chrome Extension as referenced in 0.5 - Install the Chrome extension for the Experience League documentation
Exercises
In this exercise, you’ll explore the website that you’ll use as part of this enablement.
2.2 Configure Schemas and Set Identifiers
In this exercise, you’ll configure the required XDM schema’s to capture profile information and customer behavior. In every XDM schema, you’ll also have to configure a primary identifier to link all the information to.
In this exercise, you’ll retrieve the required datasets to capture and store profile information and customer behavior.
2.4 Data Ingestion from Offline Sources
In this exercise, you’ll go on the website and mobile app and behave like a customer, streaming data to Platform.
Summary of this module and overview of the benefits.
Thank you for investing your time in learning all there is to know about Adobe Experience Platform. If you have questions, want to share general feedback of have suggestions on future content, please contact Wouter Van Geluwe directly, by sending an email to vangeluw@adobe.com.
Resources on adobe.com
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