Overview - AEP & Apps Tech Labs

Overview

AEP & Apps Architecture Overview

In this video, you’ll learn about the architecture behind the Adobe Experience Platform and Applications part of this tutorial.

Download the architecture overview image here.

Getting Started

Getting started

In this foundational module, you will prepare everything so that you can access and use the demo environment.

Delivery & Activation

Data Collection

1.1 Foundation - Setup of Adobe Experience Platform Data Collection & Web SDK

In this foundational module, you will learn about Adobe Experience Platform Data Collection and the new Web SDK extension.

1.2 Foundation - Data Ingestion

In this foundational module, you will ingest data from various sources into Adobe Experience Platform

1.3 Federated Audience Composition

In this module, you’ll learn how to setup a Federated Audiences model and generate audiences using federated data.

Real-Time CDP B2C

2.1 Foundation - Real-time Customer Profile

In this foundational module, you will explore the Real-time Customer Profile in Adobe Experience Platform by making use of the UI and API.

2.2 Intelligent Services

In this module, you’ll learn how to setup, configure and use Adobe Experience Platform Intelligent Services.

2.3 Real-Time CDP - Build an audience and take action

In this module, you’ll configure an audience and activate the audience to several destinations, including Google DV360, Adobe Target and AWS S3.

2.4 Real-Time CDP: Audience Activation to Microsoft Azure Event Hub

In this module, you’ll setup a Microsoft Azure EventHub destination as a real-time destination for Adobe Experience Platform Real-time CDP.

2.5 Real-Time CDP Connections: Event Forwarding

In this module, you’ll forward data server-side to several endpoints, such as Google Cloud Platform Pub/Sub and AWS Kinesis.

2.6 Stream data from Apache Kafka into Real-Time CDP

In this module, you’ll learn how to setup your own Apache Kafka cluster and stream data into Adobe Experience Platform.

Adobe Journey Optimizer B2C

3.1 Adobe Journey Optimizer: Orchestration

In this module you’ll use Adobe Journey Optimizer to build out a trigger-based journey.

3.2 Adobe Journey Optimizer: External data sources and custom actions

In this module, you’ll use Adobe Journey Optimizer to listen to customer behavior, both online and offline, and respond to it in an intelligent, contextual and real-time way over various channels.

3.3 Adobe Journey Optimizer: Push and In-app Messages

In this module, you’ll use Adobe Journey Optimizer to configure push notifications and in-app messages.

3.4 Adobe Journey Optimizer: Event-based Journeys

In this module, you’ll learn everything there is to know about Journey Optimizer, which helps companies design and deliver connected, contextual, and personalized experiences to their customers.

3.5 Adobe Journey Optimizer: Translation Services

In this module, you’ll learn how to setup and use Translation Services within Adobe Journey Optimizer to localize your messages to your customers.

3.6 Adobe Journey Optimizer: Content Management

In this module, you’ll learn how to setup and use Content Cards and Landing Pages within Adobe Journey Optimizer and you’ll deepdive into the integration between Adobe Journey Optimizer and GenStudio for Performance Marketing.

3.7 Adobe Journey Optimizer: Decisioning

In this module, you’ll learn how to setup and use Decisioning and Code-based Experiences within Adobe Journey Optimizer.

3.8 Adobe Journey Optimizer: Campaigns

In this module, you’ll learn how to setup and use Campaigns within Adobe Journey Optimizer.

Reporting & Insights

Adobe Customer Journey Analytics

1.1 Customer Journey Analytics: Build a dashboard using Analysis Workspace on top of Adobe Experience Platform

In this module, you’ll get Online to Offline insights by configuring a dashboard containing omni-channel data.

1.2 Customer Journey Analytics: Ingest & Analyze Google Analytics data in Adobe Experience Platform with the BigQuery Source Connector

In this module, you’ll set up your own instance of Google Cloud Platform, load demo data in Google Cloud Platform and you’ll then use the BigQuery Source Connector to ingest that data from Google Cloud Platform into Adobe Experience Platform.

Data Distiller

2.1 Query Service

In this module, you’ll learn how to use Adobe Experience Platform Query Service.

Content Analytics

3.1 Content Analytics

In this module, you’ll learn how to implement and use Adobe Content Analytics.

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