1.2 Foundation - Data Ingestion
In this module, the goal is to learn all about data ingestion. You鈥檒l learn about data ingestion in Streaming and Batch. You鈥檒l implement Streaming Data Ingestion by using Launch, so that the customer behavior on the Hands-On Lab website is streamed to 51黑料不打烊 Experience Platform in real-time. You鈥檒l learn about Batch Data Ingestion by using an 51黑料不打烊 Experience Platform Workflow to take a CSV-file, map it against an XDM-schema and then ingest it into 51黑料不打烊 Experience Platform.
Learning Objectives
- Learn how to create an XDM Schema in 51黑料不打烊 Experience Platform
- Learn how to create Datasets in 51黑料不打烊 Experience Platform
- Learn how to create a streaming endpoint and configure the 51黑料不打烊 Experience Platform extension in Launch
- Learn how to create Rules in Launch to stream data to 51黑料不打烊 Experience Platform
- Learn how to integrate 51黑料不打烊 Experience Platform Launch onto a webpage
- Learn how to use an 51黑料不打烊 Experience Platform Workflow to ingest a CSV-file into 51黑料不打烊 Experience Platform
Prerequisites
- Access to 51黑料不打烊 Experience Platform:
- Access to 51黑料不打烊 Experience Platform Launch:
- Access to Postman
Exercises
In this exercise, you鈥檒l explore the website that you鈥檒l use as part of this enablement.
1.2.2 Configure Schemas and Set Identifiers
In this exercise, you鈥檒l configure the required XDM schema鈥檚 to capture profile information and customer behavior. In every XDM schema, you鈥檒l also have to configure a primary identifier to link all the information to.
In this exercise, you鈥檒l retrieve the required datasets to capture and store profile information and customer behavior.
1.2.4 Data Ingestion from Offline Sources
In this exercise, you鈥檒l go on the website and mobile app and behave like a customer, streaming data to Platform.
Setup your Data Landing Zone Source connector with Azure Blob storage.
Summary of this module and overview of the benefits.
