Lectures

In Adobe Experience Platform, there are two main patterns of data ingestion: batch and streaming. Batch ingestion involves uploading large volumes of data at scheduled intervals, while streaming ingestion brings in data in real time as events happen. Understanding these patterns is important because it helps businesses choose the right speed and method for bringing data into the platform—ensuring that marketing experiences are timely, relevant, and aligned with business needs.

Data ingestion architecture

In this video you will learn about the architecture behind batch and streaming data ingestion, including how source connectors move data through Data Prep into the data lake and Real-Time Customer Profile.

Dataflow framework

In this video you will learn about the accounts, data flows, and mappings that make up a dataflow, along with the format choices and monitoring steps used to validate ingestion.

Data Prep with complex data

In this video you will learn how to model and ingest complex list data as arrays or maps, since Data Prep can only map fields one-to-one and can’t build lists on its own.