Ingestion, Data Streams and Modeling

Data Cloud (Data 360)Ingestion, Data Streams and ModelingBring data into Data 360 with native connectors, the Web and Mobile SDKs and the Ingestion API (streaming and bulk), choose the right data stream category and keys, map DLOs to standard and custom DMOs, reshape data with transforms and package it all with data kits.Intermediate · about 75 minutesWhat you will learn

Choose the right connector for CRM, Marketing Cloud, cloud storage, web/mobile and custom sources

Configure data streams with the correct category, primary key, event time and refresh mode

Set up an Ingestion API connector with an OpenAPI schema and load data with streaming and bulk requests

Authenticate to Data 360 with an External Client App and the a360 token exchange

Map DLOs to standard and custom DMOs and define relationships

Use formula fields and batch/streaming data transforms to clean and reshape data

Package Data 360 configuration with data kits and follow modeling best practices

Contents

Connectors: how data gets in

Data streams in depth

The Ingestion API in depth

Modeling: mapping DLOs to DMOs

Data transforms

Data kits and packaging

Worked example: a fitness app into Data 360

Best practices

Common pitfalls

Hands-on exercises

Key takeaways