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Databricks at Microsoft Fabric Community Conference

Immerse yourself in the future of data and AI

Databricks at Microsoft Fabric Community Conference 2024: Booth 301

Check out our sessions


The Best Warehouse Is a Lakehouse With Azure Databricks (How to save money and accelerate performance for warehousing workloads in a lakehouse)

Tuesday, March 26 | 2:00–3:00 PM PT

Abstract: Optimize your Azure SQL Warehouse workloads with Azure Databricks lakehouse architecture. Discover how the Databricks Photon engine can accelerate ETL workloads 9x vs. traditional warehouses to provide outstanding price/performance value with Delta Lake. AI under the hood helps you simplify managing dynamic and fluctuating datasets and complex, real-time business intelligence scenarios. You’ll also learn how Databricks SQL Serverless has intelligent workload management to quickly scale to meet the demands of your business while also scaling down to lower your costs.

Speaker: Franco Patano, Strategic Data and AI Advisor, Databricks

Model Tuning

Azure Databricks: Using Enterprise Data With Azure OpenAI to Move Beyond POCs

Wednesday, March 27 | 9:15–10:15 AM PT

Abstract: Generative AI is powerful, but how do you leverage it on top of your enterprise data to solve real problems? Models are only as good as the data available to them. Without your unique data and semantic understanding of it, LLMs are reduced to basic use cases and parlor tricks. In this session, you’ll learn how to use governed, highly sensitive data safely with the latest AI models, whether building RAG applications or solving more traditional problems, to address the unique opportunities facing your organization.

Speaker: David Meyer, SVP Product, Databricks

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Learn About the Power of Azure Databricks

Join the Day 1 Opening Keynote on Tuesday, March 26, at 8:30 AM PT to hear Databricks onstage with Arun Ulag, Corporate Vice President, Azure Data at Microsoft, to showcase the power of Azure Databricks for building AI applications together with Microsoft Fabric.

Databricks and Microsoft logos

Microsoft and Databricks Have a Strategic Partnership

Microsoft and Databricks have teamed up to bring together the best of both companies to deliver a powerful and integrated analytics platform. With this partnership, customers can build and deploy advanced analytics and AI solutions at scale, using the best of Azure and Databricks.

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Customers Trust Azure Databricks

Among the many reasons customers value Azure Databricks: it’s a powerful and integrated analytics platform that brings together the best of Microsoft and Databricks. Customers can use Azure Databricks to build and deploy advanced analytics and AI solutions at scale, all on a simple, open lakehouse.

Illustration of Azure Databricks services, featuring a central cloud symbolizing cloud computing, surrounded by icons representing data storage, connectivity, global reach, and data analysis through bar graphs and pie charts, with the 'Azure DataBricks' logo in the top left corner.

Azure Databricks Is a Unique, First-Party Solution

Ease of provisioning: Azure Databricks can be provisioned directly from the Azure Portal like any other Azure service. This provides a unified portal to provision and administer Azure Databricks as well as other Azure services.

Integration with other Azure services: Azure Databricks integrates seamlessly with other Azure services, such as Azure Data Lake Storage, Azure Machine Learning and Azure Stream Analytics. This allows customers to build end-to-end analytics solutions within the Azure ecosystem.

Performance and scalability: Azure Databricks is designed to deliver high performance and scalability, allowing customers to process large volumes of data quickly and efficiently.

Security and compliance: Azure Databricks benefits from enterprise-grade Azure security, compliance and SLAs, providing customers with peace of mind when it comes to the security and governance of their data.

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More to explore

Try Databricks on Azure

Discover how easy it is to simplify your data architecture by unifying all your analytics and AI workloads on a simple, open lakehouse.

Learn more