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Franco Patano

Speaker

Franco Patano

4

talks

Lead Product Specialist Databricks

Franco Patano is a Principal Solutions Architect at Databricks, where he partners with cross-functional teams to deliver scalable, data-driven solutions and drive product innovation across big data analytics, Databricks, Spark, and Delta. He also serves as a Strategic Data and AI Advisor, collaborating with customers to understand their business needs and help them leverage Databricks to deliver data products that drive value, innovation, and growth. Patano’s expertise spans data platforms, AI-enabled analytics, and leveraging data products to support data-driven decision-making and transformative business outcomes.

Bio from: Databricks DATA + AI Summit 2023

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Multi-Statement Transactions: How to Improve Data Consistency and Performance

Multi-statement transactions bring the atomicity and reliability of traditional databases to modern data warehousing on the lakehouse. In this session, we’ll explore real-world patterns enabled by multi-statement transactions — including multi-table updates, deduplication pipelines and audit logging — and show how Databricks ensures atomicity and consistency across complex workflows. We’ll also dive into demos and share tips to getting started and migrations with this feature in Databricks SQL.

At Databricks, we see organizations looking to leverage the power of AI, not only to deliver intelligent solutions, but to also have intelligent user interfaces. Join us as we delve into how lakehouse architecture forms the backbone of intelligent data platforms, integrating AI to enhance user interaction and self-management. Discover how this evolution is democratizing data and AI access for all data workers in modern organizations, paving the way for the next generation of data and AI enabled solutions.

At Databricks, we see organizations looking to leverage the power of AI, not only to deliver intelligent solutions, but to also have intelligent user interfaces. Join us as we delve into how lakehouse architecture forms the backbone of intelligent data platforms, integrating AI to enhance user interaction and self-management. Discover how this evolution is democratizing data and AI access for all data workers in modern organizations, paving the way for the next generation of data and AI enabled solutions.

Live from the Lakehouse: LLMs, AutoML, modern data stacks: Ben Lorica, Conor Jensen, & Franco Patano

Hear from two guests. First, Ben Lorica (Principal, Gradient Flow) on AI and LLMs. Second guest, Conor Jensen (Field CDO, Dataiku), discusses democratizing AI through AutoML, LLMs, and the role of Field CDOs. Third guest, Franco Patano (Lead Product Specialist, Databricks), on modern data stacks and technology community. Hosted by Holly Smith (Sr Resident Solutions Architect, Databricks) and Jimmy Obeyeni (Strategic Account Executive, Databricks)

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