Enhanced Enterprise Connectivity for Data Apps

Product Launch

September 25 @ 1pm EDT

Nearly 30% of data scientists face significant hurdles with data connectivity in production environments. With modern analytics requiring real-time insights from distributed data sources, businesses are turning to simpler, more efficient ways to manage large, complex datasets.

The newest version of Plotly Dash Enterprise gives Python developers and data science teams access to a new set of connectors for data warehouses and data clouds. The result is a frictionless enterprise connectivity with simple and secure data access control. Join our upcoming webinar to learn about the following:

  • Collaborate easier with enterprise connectors for Databricks, Snowflake, AWS S3, AWS Redshift, and Google Big Query
  • Customize your maps with the built-in MapLibre styles or external styles from CARTO, ArcGIS, and others
  • Control callbacks and data running with a one-click button in App Studio
  • Explore and analyze limitless data with DuckDB-enabled tables in App Studio
  • Improvements to user experience, AI assistance, and more!

Meet the Speakers

Domenic Ravita

Domenic is VP of Marketing at Plotly with 20+ years in B2B data infrastructure. An engineer-turned-marketer, he excels in product marketing and demand generation, bridging technical products and market needs for developers, architects, and business leaders.

Nathan Drezner

Nathan is a Technical Product Manager at Plotly, shaping Dash and other OSS libraries. Previously leading Professional Services, he combines expertise in data visualization, cultural analytics, and computational linguistics with a passion for technology and language.

Matt Brown

Matt Brown is a Senior Product Manager at Plotly with deep expertise in data analytics. He brings a strategic approach to product management, leveraging his background in web development to enhance user engagement and drive product success.