Every CONTEXT 2026 session. On demand.
See how data and AI leaders are putting agents into production, and what it takes to build the context layer behind them.
A data estate with about 70,000 Databricks tables, plus databases and Kafka topics, needs a catalog that connects to all of it. In this session, Alexandre Miyazaki, a data engineer at iFood, shows what his team has built so far, including its integration with Databricks and other iFood services. Attendees learn how each component fits together and what it takes to connect DataHub to a data environment at this scale.