Organisations now have access to an ever-growing number of data sources, and being able to ingest multiple data sources rapidly is critical to maximising the value they extract from their data. Because ad hoc ingestion is slow and requires a great deal of effort, many organisations have started to implement ingestion frameworks to streamline their ingestion processes.
An AI agent built on top of an existing data ingestion framework can help provide automation and serve as a knowledge base where users can ask questions about their data without having to rely on other teams.
Join us for a very interesting CoolTalks session, where we show you an agentic data ingestion framework approach in Databricks, which turns a complex multi-step engineering process into a simple conversation.
Don’t miss it. Register now and watch on-demand from 25th November onwards!
SPEAKER
Sergi Cassanmagnago
Data Engineer
