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Comprehensive Technical Tutorial for AEP
  • Comprehensive Technical Tutorial for Adobe Experience Platform
    • Architecture
    • Video Overview
  • 0 - Getting started
    • 0.0 Which environment do I use?
    • (Deprecated) Install the Chrome extension for the Experience League documentation
    • 0.1 Use Demo System Next to setup your Adobe Experience Platform Data Collection client property
    • 0.2 Create your Datastream
    • 0.3 Set up the website
    • 0.4 Set up the mobile app
    • 0.5 Ingest Data to AEP through the Website
    • 0.6 Ingest Data to AEP through the Mobile App
    • 0.7 Visualize your own Real-time Customer Profile - UI
    • 0.8 See your Real-time Customer Profile in action in the Call Center
    • 0.9 Set up and use the AEP API to visualize your Real-Time Customer Profile
    • 0.10 Install the Experience Platform Debugger Extension
    • 0.11 What if I want to demonstrate basic AEP concepts directly on a live website?
  • 1 - Adobe Experience Platform Data Collection and the Web SDK extension
    • 1.1 Understanding Adobe Experience Platform Data Collection
    • 1.2 Edge Network, Datastreams and Server Side Data Collection
    • 1.3 Introduction to Adobe Experience Platform Data Collection
    • 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
    • 2.1 Explore the Website
    • 2.2 Configure Schemas and Set Identifiers
    • 2.3 Configure Datasets
    • 2.4 Data Ingestion from Offline Sources
    • 2.5 Data Landing Zone
    • Summary and Benefits
  • 3 - Real-time Customer Profile
    • 3.1 Visit the website
    • 3.2 Visualize your own real-time customer profile - UI
    • 3.3 Visualize your own real-time customer profile - API
    • 3.4 Create a segment - UI
    • 3.5 Create a segment - API
    • 3.6 See your Real-time Customer Profile in action in the Call Center
    • Summary and benefits
  • 4 - Query Service
    • 4.0 Prerequisites
    • 4.1 Getting Started
    • 4.2 Using the Query Service
    • 4.3 Queries, queries, queries... and churn analysis
    • 4.4 Generate a dataset from a query
    • 4.5 Query Service and Power BI
    • 4.6 Query Service and Tableau
    • 4.7 Query Service API
    • Summary and benefits
  • 5 - Intelligent Services
    • 5.1 Customer AI - Data Preparation (Ingest)
    • 5.2 Customer AI - Create a New Instance (Configure)
    • 5.3 Customer AI - Scoring Dashboard and Segmentation (Predict & Take Action)
  • 6 - Real-time CDP - Build a segment and take action
    • 6.1 Create a segment
    • 6.2 Review how to configure DV360 Destination using Destinations
    • 6.3 Take Action: send your segment to DV360
    • 6.4 Take Action: send your segment to an S3-destination
    • 6.5 Take Action: send your segment to Adobe Target
    • 6.6 External Audiences
    • 6.7 Destinations SDK
    • Summary and benefits
  • 7 - Adobe Journey Optimizer: Orchestration
    • 7.1 Create your event
    • 7.2 Create your journey and email message
    • 7.3 Update your Data Collection property and test your journey
    • Summary and benefits
  • 8 - Adobe Journey Optimizer: External data sources and custom actions
    • 8.1 Define an event
    • 8.2 Define an external data source
    • 8.3 Define a custom action
    • 8.4 Create your journey and messages
    • 8.5 Trigger your journey
    • Summary and benefits
  • 9 - Adobe Journey Optimizer: Offer Decisioning
    • 9.1 Offer Decisioning 101
    • 9.2 Configure your offers and decision
    • 9.3 Prepare your Data Collection Client property and Web SDK setup for Offer Decisioning
    • 9.4 Combine Adobe Target and Offer Decisioning
    • 9.5 Use your decision in an email
    • 9.6 Test your decision using the API
    • Summary and benefits
  • 10 - Adobe Journey Optimizer: Event-based Journeys
    • 10.1 Configure an event-based journey - Order Confirmation
    • 10.2 Configure a batch-based newsletter journey
    • 10.3 Apply personalization in an email message
    • 10.4 Setup and use push notifications
    • 10.5 Create a business event journey
    • Summary and benefits
  • 11 - Customer Journey Analytics - Build a dashboard using Analysis Workspace on top of Adobe Experie
    • 11.1 Customer Journey Analytics 101
    • 11.2 Connect Adobe Experience Platform Data Sets in Customer Journey Analytics
    • 11.3 Create a Data View
    • 11.4 Data Preparation in Customer Journey Analytics
    • 11.5 Visualization using Customer Journey Analytics
    • Summary and benefits
  • 12 - Ingest & Analyze Google Analytics data in Adobe Experience Platform with the BigQuery Source Co
    • 12.1 Create your Google Cloud Platform Account
    • 12.2 Create your first query in BigQuery
    • 12.3 Connect GCP & BigQuery to Adobe Experience Platform
    • 12.4 Load data from BigQuery into Adobe Experience Platform
    • 12.5 Analyze Google Analytics Data using Customer Journey Analytics
    • Summary and benefits
  • 13 - Real-Time CDP: Segment Activation to Microsoft Azure Event Hub
    • 13.1 Configure your Microsoft Azure EventHub environment
    • 13.2 Configure your Azure Event Hub Destination in Adobe Experience Platform
    • 13.3 Create a segment
    • 13.4 Activate segment
    • 13.5 Create your Microsoft Azure Project
    • 13.6 End-to-end scenario
    • Summary and benefits
  • 14 - Real-Time CDP Connections: Event Forwarding
    • 14.1 Create a Data Collection Event Forwarding property
    • 14.2 Update your Datastream to make data available to your Data Collection Event Forwarding property
    • 14.3 Create and configure a custom webhook
    • 14.4 Create and configure a Google Cloud Function
    • 14.5 Forward events towards the AWS ecosystem
    • Summary and benefits
  • 15 - Stream data from Apache Kafka into Adobe Experience Platform
    • 15.1 Introduction to Apache Kafka
    • 15.2 Install and configure your Kafka cluster
    • 15.3 Configure HTTP API Streaming endpoint in Adobe Experience Platform
    • 15.4 Install and configure Kafka Connect and the Adobe Experience Platform Sink Connector
    • Summary and benefits
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  1. 8 - Adobe Journey Optimizer: External data sources and custom actions

8.2 Define an external data source

Adobe Journey Optimizer - External Weather API, SMS Action & more - Define an external data source

Previous8.1 Define an eventNext8.3 Define a custom action

Last updated 2 years ago

In this exercise, you'll create a custom external data source by making use of Adobe Journey Optimizer.

Login to Adobe Journey Optimizer by going to Adobe Experience Cloud. Click Journey Optimizer.

You'll be redirected to the Home view in Journey Optimizer. First, make sure you're using the correct sandbox. The sandbox to use is called --aepSandboxId--. To change from one sandbox to another, click on PRODUCTION Prod (VA7) and select the sandbox from the list. In this example, the sandbox is named AEP Enablement FY22. You'll then be in the Home view of your sandbox --aepSandboxId--.

In the left menu, scroll down and click Configurations. Next, click the Manage button under Data Sources.

You'll then see the Data Sources list. Click Create Data Source to start adding your data source.

You'll see an empty data source popup.

Before you can start configuring this, you'll need an account with the Open Weather Map service. Follow these steps to create your account and get your API key.

Go to https://openweathermap.org/. On the homepage, click Sign In.

Click Create an Account.

Fill out the details.

Click Create Account.

You'll then be redirected to your Account Page.

In the menu, click API Keys to retrieve your API Key, which you'll need to setup your custom external data source.

An API Key looks like this: b2c4c36b6bb59c3458d6686b05311dc3.

You can find the API Documentation for the Current Weather here.

In our use-case, we'll implement the connection with Open Weather Map based on the city the customer is in.

Go back to Adobe Journey Optimizer, to your empty External Data Source popup.

As a Name for the data source, use --demoProfileLdap--WeatherApi. In this example, the data source Name is vangeluwWeatherApi .

Set Description to: Access to the Open Weather Map.

The URL for the Open Weather Map API is: http://api.openweathermap.org/data/2.5/weather?units=metric

Next, you need to select the Authentication to use.

Use these variables:

Field
Value

Type

API key

Name

APPID

Value

your API Key

Location

Query Parameter

Finally, you need to define a FieldGroup, which is basically the request you'll be sending to the Weather API. In our case, we want to use the name of the City to request the Current Weather for that City.

According to the Weather API Documentation, we need to send a parameter q=City.

In order to match the expected API Request, configure your FieldGroup as follows:

The Field group name has to be unique, please use this naming convention: --demoProfileLdap--WeatherByCity so in this case, the name should be vangeluwWeatherByCity

For the Response Payload, you need to paste an example of the Response that will be sent by the Weather API.

You can find the expected API JSON Response on the API Documentation page here.

Or you can copy the JSON Response from here:

{"coord": { "lon": 139,"lat": 35},
  "weather": [
    {
      "id": 800,
      "main": "Clear",
      "description": "clear sky",
      "icon": "01n"
    }
  ],
  "base": "stations",
  "main": {
    "temp": 281.52,
    "feels_like": 278.99,
    "temp_min": 280.15,
    "temp_max": 283.71,
    "pressure": 1016,
    "humidity": 93
  },
  "wind": {
    "speed": 0.47,
    "deg": 107.538
  },
  "clouds": {
    "all": 2
  },
  "dt": 1560350192,
  "sys": {
    "type": 3,
    "id": 2019346,
    "message": 0.0065,
    "country": "JP",
    "sunrise": 1560281377,
    "sunset": 1560333478
  },
  "timezone": 32400,
  "id": 1851632,
  "name": "Shuzenji",
  "cod": 200
}

Copy the above JSON Response to your clipboard, then go to your custom data source configuration screen.

Click the Edit Payload icon.

You'll see a popup where you now have to paste the above JSON Response.

Paste your JSON Response, after which you'll see this. Click Save.

Your custom data source configuration is now complete. Scroll up and click Save.

Your data source has now been created successfully and is part of the Data Sources list.

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