How to Use a Data Lakehouse for AI & BI at Scale

Now available on-demand!

Join leaders from Inspire Brands and Databricks for a panel discussion on how to build a successful program that combines the data science focus of the data lake with the analytics power of the data warehouse — in an open environment — to unlock incredible value in your organization.

Our Data Lakehouse leaders & strategists will share practical guidance and examples on how data teams can move faster, reduce complexity, and accelerate decision making at your organization. You’ll hear best practices to ensure you have the most complete and up-to-date data available for data science, machine learning, and business analytics programs at scale.

In this webinar

You will learn about:

• How a Data Lakehouse with a semantic layer combines the best of data warehouse and data lake functionality
• Enabling data teams to model and deliver a semantic layer over data in a Lakehouse.
• Achieving speed of thought query performance and consistent KPIs across any BI/AI tool like Excel, Power BI, Tableau, Looker, DataRobot, etc
• Achieving optimal performance on large datasets while improving query performance and user concurrency by 10x.

Who should watch

Data & Analytics leaders and practitioners (e.g., Chief Data Officers, data scientists, data literacy, business intelligence, and analytics professionals) looking to enable  business intelligence (BI) and machine learning (ML) on all data using a semantic layer.