LIVE EVENT

Modern Analytics Cloud for the Data Lakehouse

Dec 1 2022 | 1 PM - 6 PM EET

 

Epicenter, Mikonkatu 9, Helsinki

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Simplifying Data, Analytics and AI

Sorry, capacity for the in-person event has been met. Please register to be added to the waitlist.

Combining the best of data warehouse and data lake technology into a single, unified architecture, the data lakehouse is designed to optimize all data use cases — including BI, streaming analytics, data science and machine learning.

 

With ThoughtSpot on Databricks, users can run search and AI-driven Live Analytics and build engaging analytics experiences directly on the Databricks Lakehouse Platform, powered by Delta Lake.


Join Databricks and ThoughtSpot at this event where we’ll shred light on: 

  • How to maximize the value of your Lakehouse data with search and AI
  • How anyone can create personalized, actionable insights at the point of impact with Live Analytics
  • How to fuel customer engagement and growth by embedding interactive Live Analytics experiences into your apps and products
  • How to quickly connect and get started with ThoughtSpot and Databricks today

AGENDA

  •  13.00 - 14.30 ThoughtSpot | Databricks Hands-on Lab
    • Learn how to create an interactive, search-driven analytics experience that sits directly on top of your cloud data platform in a matter of minutes
    • Explore how to embed this experience with ThoughtSpot Everywhere to make your SaaS apps and data products even more engaging.
      You will need to bring your own laptop to this session.
  • 14.30 - 15.00 Coffee Break
  • 15.00 - 15.45 Building the Lakehouse Foundation With Delta Lake with Mary Downey, Senior Manager, Solution Architects at Databricks
  • 15.45 - 16.30 ThoughtSpot + Databricks: Cracking the self-service code on the modern data stack with Maggie O'Neill, Director of Product Marketing at ThoughtSpot
  • 16.30 - 17.00 Ease of citizen data analysis in an enterprise Azure environment with Databricks and ThoughtSpot with Mikko Kivistö at Smart Data Hub
  • 17.00 - 18.00 Networking and refreshments

 

WHO SHOULD ATTEND

  • Business-users interested in self-service
  • Data analysts and engineers
  • IT administrators or architects
  • Product builders and developers

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