Santhosh Kumar Ravindran
Principal Product Manager, Microsoft Fabric Data Engineering
Seattle, Washington, United States
Actions
Product Manager @ Microsoft Corporation with over 7 years of software engineering (full stack) and deep knowledge and experience in data science.
Currently leading the Spark compute platform for Microsoft Fabric.
Prior to my current role was responsible for the Microsoft Data Governance Platform, which included Governance Catalog (Purview), Data Estate Insights, and Lineage tracing platform.
I lead high-performance teams and various projects in developing large-scale Data Platforms, Distributed Systems, and Machine Learning Services.
Links
Area of Expertise
Topics
Scaling and Protecting Data Engineering in Fabric: Best Practices for Success
Ready to take Fabric Spark to production? This session will equip you with the tools, strategies, and best practices needed to confidently deploy Data Engineering workloads in real-world, large-scale environments. Learn how to orchestrate complex pipelines, tackle common scaling challenges, and achieve peak price-performance. Whether you're preparing for go-live or optimizing an existing workload, you'll walk away with actionable insights to elevate your data engineering game.
Key Takeaways:
Production-ready orchestration tools and tips
Best practices for a smooth and reliable go-live
Strategies to maximize price-performance
Proven tips and tricks for scaling Spark in Fabric
Mastering Fabric Data Engineering Admin and Capacity Management
Data Engineering workload in Microsoft Fabric empowers data teams to accelerate their analytics initiatives. To maximize its potential, effective administration and capacity management are crucial when operating in production. This session will delve into the various levels of administrative and governance controls available within workspaces, capacities for Fabric Data Engineering, including Notebooks, Lakehouses, and Spark Job Definitions
This session will cover:
Establishing a Robust Governance Framework: Understand administrative roles, permissions, and best practices for managing compute
Optimizing Resource Allocation: Learn how to effectively manage workspaces and capacities to ensure optimal performance and cost efficiency.
Scaling Your Data Platform: Discover best practices for scaling Fabric Data Engineering to meet the growing demands of your organization.
From Sandbox to Stadium: Orchestrating Fabric Spark and Best Practices for Production-Ready Workload
This session aims to equip you to confidently deploy Fabric Spark for real-world production. Learn best practices, tackle scaling challenges, and unlock peak price-performance.
Walk away with:
Production-ready Fabric Spark orchestration tools and tips
Proven best practices for seamless go-live
Strategies for optimal price-performance
Tips & Tricks for large-scale data engineering
From Sandbox to Stadium: Orchestrating Fabric Spark and Best Practices for Production-Ready Workload
Discover best practices for scaling efficiently, boosting price-performance with native execution, and securing workloads with enterprise-grade features.
Attendees will leave with a production-ready playbook ,actionable steps and AI-powered tools to confidently orchestrate Spark in Microsoft Fabric.
Santhosh Kumar Ravindran
Principal Product Manager, Microsoft Fabric Data Engineering
Seattle, Washington, United States
Links
Actions
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top