Speakers: Ken Wong, Sr. Director of Product Management, Databricks Miranda Luna, Product Management, Databricks
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Miranda Luna
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talks
Product Management
Databricks
Miranda Luna leads product management for Databricks AI/BI, shaping tools that bring together business intelligence and AI to simplify data-driven decisions. Previously, she worked on Databricks SQL, contributing to a fast, intuitive analytics experience on the Lakehouse platform. Her favorite part of the role is learning from customers and turning their feedback into great products. Based in Seattle, she enjoys alpine skiing in winter, golfing in summer, and making the most of the Pacific Northwest year-round.
Bio from: Databricks DATA + AI Summit 2023
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Many organizations rely on complex cloud data architectures that create silos between applications, users and data. This fragmentation makes it difficult to access accurate, up-to-date information for analytics, often resulting in the use of outdated data. Enter the lakehouse, a modern data architecture that unifies data, AI, and analytics in a single location.
This session explores why the lakehouse is the best data warehouse, featuring success stories, use cases and best practices from industry experts. You'll discover how to unify and govern business-critical data at scale to build a curated data lake for data warehousing, SQL and BI. Additionally, you'll learn how Databricks SQL can help lower costs and get started in seconds with on-demand, elastic SQL serverless warehouses, and how to empower analytics engineers and analysts to quickly find and share new insights using their preferred BI and SQL tools such as Fivetran, dbt, Tableau, or Power BI.
Talk by: Miranda Luna and Cyrielle Simeone
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