With the rise of Agentic capabilities across all data platforms, Data Engineers have been tasked with a new area of expertise: Context Engineering

In this session we will dive into the topic of context, through the lens of a Data Engineer. More specifically, we will look at how to design your Databricks Platform in the most efficient way, to ensure that context is a part of everything from architectural decisions to governance and business definitions.

We will cover both more general questions such as:
- What is good context?
- How do we build it?
- What about maintenance, updates and CI/CD?

But also dive into more feature-specific topics such as Databricks Ontology, Metric Views, Skills and Agent Instructions.

You will leave with a good understanding of how to manage context as an input for your agentic applications such as Genie