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Databricks Agents for Data Engineers
This talk explores using agents to help data engineers implement customer data platform use cases on Databricks by generating notebooks and configuring applications.
A big opportunity for agents to provide a lot of value is for data engineers that use platforms like Databricks. Databricks is a general platform that you can do almost anything on, but it’s a bit like a blank canvas. A major use case for enterprise companies is using it as the primary layer for managing all of their customer data. This typically means using other ETL frameworks or writing lots of scripts. Agents can offer a way to start from the value or use case and help data engineers plan how to implement it, and then do that implementation for you. Instead of generating code, it can generate notebooks, configures various applications, etc. I’ve been working on a project to bring that to life and create an agent focused on helping data engineers implement customer data use cases on Databricks and with SAAS applications.