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Santosh Perla

Speaker

Santosh Perla

4

talks

Senior Product Manager Microsoft

Santosh Perla is a Senior Product Manager on the Azure Databricks team. He focuses on multiple areas to help customers build scalable data platforms that power insights and innovation.

Bio from: Microsoft Ignite 2025

Frequent Collaborators

Bhagyashri Badgujar Databricks 4 Daniel Epstein Microsoft 4 Isaac Gritz Databricks 4 Katie Cummiskey Databricks 4 Spencer Cook Databricks 4

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Microsoft Ignite 2025 4

Talks & appearances

4 activities · Newest first

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Accelerate BI with Azure Databricks in the era of AI

2025-11-20 · Microsoft Ignite 2025
talk
with Spencer Cook (Databricks) , Santosh Perla (Microsoft) , Daniel Epstein (Microsoft) , Isaac Gritz (Databricks) , Bhagyashri Badgujar (Databricks) , Saurabh Shukla (Databricks) , Katie Cummiskey (Databricks)
AI/ML Analytics Azure BI Data Lakehouse Databricks

Discover how to supercharge analytics and AI workflows using Azure Databricks and Microsoft Fabric. This hands-on lab explores native AI/BI features in Azure Databricks, including ML-powered insights and real-time analytics. Learn multiple ways to serve data to Power BI, with a deep dive into Direct Lake mode with Fabric. Ideal for developers, data scientists, data analysts, and engineers modernizing BI with lakehouse architecture in the AI era.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Accelerate BI with Azure Databricks in the era of AI

2025-11-20 · Microsoft Ignite 2025
talk
with Spencer Cook (Databricks) , Santosh Perla (Microsoft) , Daniel Epstein (Microsoft) , Isaac Gritz (Databricks) , Bhagyashri Badgujar (Databricks) , Katie Cummiskey (Databricks)
AI/ML Analytics Azure BI Data Lakehouse Databricks

Discover how to supercharge analytics and AI workflows using Azure Databricks and Microsoft Fabric. This hands-on lab explores native AI/BI features in Azure Databricks, including ML-powered insights and real-time analytics. Learn multiple ways to serve data to Power BI, with a deep dive into Direct Lake mode with Fabric. Ideal for developers, data scientists, data analysts, and engineers modernizing BI with lakehouse architecture in the AI era.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Accelerate BI with Azure Databricks in the era of AI

2025-11-19 · Microsoft Ignite 2025
talk
with Spencer Cook (Databricks) , Santosh Perla (Microsoft) , Daniel Epstein (Microsoft) , Isaac Gritz (Databricks) , Bhagyashri Badgujar (Databricks) , Katie Cummiskey (Databricks)
AI/ML Analytics Azure BI Data Lakehouse Databricks

Discover how to supercharge analytics and AI workflows using Azure Databricks and Microsoft Fabric. This hands-on lab explores native AI/BI features in Azure Databricks, including ML-powered insights and real-time analytics. Learn multiple ways to serve data to Power BI, with a deep dive into Direct Lake mode with Fabric. Ideal for developers, data scientists, data analysts, and engineers modernizing BI with lakehouse architecture in the AI era.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Accelerate BI with Azure Databricks in the era of AI

2025-11-18 · Microsoft Ignite 2025
talk
with Spencer Cook (Databricks) , Santosh Perla (Microsoft) , Daniel Epstein (Microsoft) , Isaac Gritz (Databricks) , Bhagyashri Badgujar (Databricks) , Katie Cummiskey (Databricks)
AI/ML Analytics Azure BI Data Lakehouse Databricks

Discover how to supercharge analytics and AI workflows using Azure Databricks and Microsoft Fabric. This hands-on lab explores native AI/BI features in Azure Databricks, including ML-powered insights and real-time analytics. Learn multiple ways to serve data to Power BI, with a deep dive into Direct Lake mode with Fabric. Ideal for developers, data scientists, data analysts, and engineers modernizing BI with lakehouse architecture in the AI era.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.