Want to learn how to build your own custom data intelligence applications directly in Databricks? In this workshop, we’ll guide you through a hands-on tutorial for building a Streamlit web app that leverages many of the key products at Databricks as building blocks. You’ll integrate a live DB SQL warehouse, use Genie to ask questions in natural language, and embed AI/BI dashboards for interactive visualizations. In addition, we’ll discuss key concepts and best practices for building production-ready apps, including logging and observability, scalability, different authorization models, and deployment. By the end, you'll have a working AI app—and the skills to build more.
talk-data.com
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Speaker
Aakrati Talati
1
talks
Senior Software Engineer
Databricks
Aakrati Talati is an engineer working on building the Databricks Apps product. Before this, she has worked on building the ML/AI infrastructure for serving features. Prior to Databricks, she has worked on building distributed systems at Google Cloud Platform and ML Infrastructure at Google Research. She has a Masters in CS and is passionate about encouraging women to pursue careers in Tech.
Bio from: Data + AI Summit 2025
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