Maintaining price and performance SLAs across engineering teams

Mark Kidwell, Chief Data Architect @ Autodesk

Getting a data stack up and running is just one step—making sure it’s optimized is the true challenge. This session will cover how Mark and his team have developed their strategy and built a self-service analytics platform.

Ranging from the common pitfalls and approaches to how they worked with cross-functional teams, Mark will take you through the journey of truly optimizing the modern data stack for price and performance.

Where & when?

Data Stack Summit 2023 was held virtually on April 19, 2023.

What is the cost to attend the virtual sessions?

Data Stack Summit is always free and open for all to attend

What is Data Stack Summit?

Finding ways to efficiently conquer the modern data stack can become infinitely more possible when we’re able to gather together collaboratively as a community and discuss the tools and capabilities desired by future-forward organizations. 

Hear real-world perspectives from long-time data visionaries, data engineers, data and cloud architects, DataOps and DevOps practitioners as they talk through topics like the building blocks of the modern data platform, open source considerations, best practices for impactful data operations, migrations, data observability, and tuning data pipelines for performance at scale.

Who comes to Data Stack Summit?

Data and cloud architects, data engineers, DevOps practitioners and managers, data and ITOps leaders

Join us for talks around things like:
  • Building blocks of the modern data platform
  • Implementing the modern data platform using open source
  • Deploying the modern data platform using K8s
  • Best practices for data team operations
  • Migrations to modern data platforms
  • Optimizing high-performance big data for future-forward organizations
Interested in speaking or sponsoring the next Data Stack Summit?

Please reach out to astronaut@solutionmonday.com.

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Thank you to our sponsors who've helped make Data Stack Summit possible
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