Databricks is changing the way data teams approach data engineering with Visual Data Prep and no-code pipeline development.

Instead of starting with code, you can work with your data visually; connect sources, explore datasets, apply transformations, join tables, filter and reshape data, and build production-ready pipelines through a visual experience.

In this session, we’ll explore how Databricks enables teams to move from raw data to useful, production-ready datasets with significantly less traditional coding.

In this 40 min session:

We’ll look at:

• How no-code data pipelines work in Databricks

• How Visual Data Prep can be used to explore and transform data

• How this approach can make data engineering more accessible without sacrificing production-grade capabilities

Whether you're a data engineer looking to accelerate pipeline development, a data analyst wanting to work more directly with data, or a CEO looking to understand how modern data teams can work more dynamically, this session will show how Databricks is changing the way teams build and work with data. You’ll see how visual, no-code pipeline development can bring different roles closer together, enable teams to move faster, and make data workflows more dynamic, collaborative, and accessible across the organization

Organized by
GritFeat Solutions