In our first session, we went through an overview of our Data Cloud Deployment Framework and its foundational database design patterns for managing analytics data within the context of real-life business scenarios.

In the second installment of this webinar series, we’ll focus on ELT implementation patterns that:

Operationalize data loading
Centralize the management of data transformations
Restructure data for optimal reporting and analytics

This ELT flow will also be put within the context of an incremental processing pattern that scales to any big data scenario.

Join us as we focus on the actual SQL code templates for ingesting, transforming, and restructuring data into the presentation layer using incremental processing and logical partition definitions.