We will explore how leveraging Databricks' Unity Catalog has accelerated our FinOps maturity, enabling us to optimize platform utilization and achieve significant cost reductions. By implementing Unity Catalog, we've gained comprehensive visibility and governance over our data assets, leading to more informed decision-making and efficient resource allocation. Learn how Corning discovered actionable insights and leveraged best practices on utilizing Unity Catalog to streamline data management, enhance financial operations and drive substantial savings within your organization.

At Kaizen Gaming, data drives our decision-making, but rapid growth exposed inefficiencies in our legacy cloud setup — escalating costs, delayed insights and scalability limits. Operating in 18 countries with 350M daily transactions (1PB+), shared quotas and limited cost transparency hindered efficiency. To address this, we redesigned our cloud architecture with Data Landing Zones, a modular framework that decouples resources, enabling independent scaling and cost accountability. Automation streamlined infrastructure, reduced overhead and enhanced FinOps visibility, while Unity Catalog ensured governance and security. Migration challenges included maintaining stability, managing costs and minimizing latency. A phased approach, Delta Sharing, and DBx Asset Bundles simplified transitions. The result: faster insights, improved cost control and reduced onboarding time, fostering innovation and efficiency. We share our transformation, offering insights for modern cloud optimization.

Managing cloud costs requires accurate resource tagging, but maintaining completeness and accuracy is a challenge. In this session, Mitchell Ertle (Senior Partner Solutions Architect) and Josue Bogran (Data & AI Architect) demonstrate how Sigma and Databricks combine to streamline FinOps and resource management with AI-driven cost attribution and workflow automation.

Through a practical demonstration, you'll see:

Identify and classify untagged Databricks pipelines with a cost attribution app Use GenAI from Databricks to suggest tags with human-in-the-loop approval Enable bidirectional data flow between Sigma and Databricks for real-time updates Automate workflows with Sigma’s actions framework Ensure security and governance by inheriting Unity Catalog permissions Discover why this combination is powerful—Sigma provides intuitive application building while Databricks delivers computation, AI/ML capabilities, and data storage. These platforms create solutions business users can interact with directly, without technical expertise.

Whether in data engineering, finance, or operations, learn how Sigma + Databricks can automate workflows, optimize costs, and drive business impact.

➡️ Learn more about Data Apps: https://www.sigmacomputing.com/product/data-applications?utm_source=youtube&utm_medium=organic&utm_campaign=data_apps_conference&utm_content=pp_data_apps

➡️ Sign up for your free trial: https://www.sigmacomputing.com/go/free-trial?utm_source=youtube&utm_medium=video&utm_campaign=free_trial&utm_content=free_trial

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For over a decade, we have sought a holistic, unifying theory of data management. This presentation documents the quest, and touches on the data and analytics infrastructure model (DAIM), metadata, data fabric, data ecosystems, and FinOps. Each of these is required and together they address everything from infrastructure to AI to strategy communications.

Power BI and Microsoft Fabric have become the data hub for your organisation, providing everyone access to your critical and sensitive data. Whilst incredibly powerful, this also brings significant risk.
Including real world case studies, this session will look at how you can protect your organisation, your data, and yourself, through effective governance, auditing and disaster recovery within Power BI and Fabric.
This will cover effective planning, risk management, license reduction, FinOps, permissions monitoring, audit trails, and more.

Cloud has exposed the cost of individual workloads at a highly granular level. It is, in essence, a complex cost optimization problem. This session provides the tools for D&A leaders to understand how to manage and evolve cloud-operating models. We provide the foundations in the three rings of financial governance, and explore the state and future of FinOps.

Maximize your Google Cloud ROI with automation! This session explores strategies for rate optimization, specifically focusing on automating Committed Use Discount (CUD) management. Learn how to intelligently purchase CUDs to achieve optimal savings and dramatically reduce your cloud spend. Discover how to effectively distribute risk through commitment laddering and other strategies. Gain insight into how automation can free up your FinOps team’s time to focus on higher-value activities in the cloud.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Speed and flexibility are key benefits of cloud-based application development and deployment. However, unmanaged costs can stifle innovation. This solution talk offers a strategic roadmap to implement FinOps principles throughout your Google Cloud infrastructure and application development lifecycle.

Collaborate with us to explore cost optimization techniques that maintain high performance levels across compute, storage, networking, and database resources. Instill a culture of cost awareness within your app teams to unlock full potential and maximize your ROI.

Learn how Lloyds Banking Group dramatically optimized their costs across Google Cloud using FinOps hub. Discover new features in FinOps hub 2.0 that are supercharged by Gemini Cloud Assist. And learn how you, too, can increase your Google Cloud FinOps score.

In this podcast episode, we talked with Eddy Zulkifly about From Supply Chain Management to Digital Warehousing and FinOps

About the Speaker: Eddy Zulkifly is a Staff Data Engineer at Kinaxis, building robust data platforms across Google Cloud, Azure, and AWS. With a decade of experience in data, he actively shares his expertise as a Mentor on ADPList and Teaching Assistant at Uplimit. Previously, he was a Senior Data Engineer at Home Depot, specializing in e-commerce and supply chain analytics. Currently pursuing a Master’s in Analytics at the Georgia Institute of Technology, Eddy is also passionate about open-source data projects and enjoys watching/exploring the analytics behind the Fantasy Premier League.

In this episode, we dive into the world of data engineering and FinOps with Eddy Zulkifly, Staff Data Engineer at Kinaxis. Eddy shares his unconventional career journey—from optimizing physical warehouses with Excel to building digital data platforms in the cloud.

🕒 TIMECODES 0:00 Eddy’s career journey: From supply chain to data engineering 8:18 Tools & learning: Excel, Docker, and transitioning to data engineering 21:57 Physical vs. digital warehousing: Analogies and key differences 31:40 Introduction to FinOps: Cloud cost optimization and vendor negotiations 40:18 Resources for FinOps: Certifications and the FinOps Foundation 45:12 Standardizing cloud cost reporting across AWS/GCP/Azure 50:04 Eddy’s master’s degree and closing thoughts

🔗 CONNECT WITH EDDY Twitter - https://x.com/eddarief Linkedin - https://www.linkedin.com/in/eddyzulkifly/ Github: https://github.com/eyzyly/eyzyly ADPList: https://adplist.org/mentors/eddy-zulkifly

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Discussion on advancing a FinOps career.

Discusses challenges and opportunities for women in FinOps.

Exploration of FinOps opportunities in 2025.

Strategies for presenting with confidence in FinOps contexts.

Scott Hirleman, founder of Data Mesh Radio, has a very diverse career, including a role as FinOps Manager. In this podcast, we sit down together to discuss his FinOps philosophy: cost containment, cost attribution, and cost forecasting. It's an insightful conversation on how to balance costs for data teams with both data and business considerations in mind.

Eric will share the team's experience with dbt and tell the development story of bringing Workday FinOps cost analysis to cloud engineers and stakeholders. He will describe how the team is using dbt, Trino and Lightdash to build a new data platform that is now a key part of their data-driven business decision process in multiple organizations within Workday. Plus, he'll show how they created a secure, efficient, and scalable platform — through dbt governance features — to drive those successful data projects.

Speakers: Eric Pu Senior Software Engineer Workday

Pattabhi Nanduri FinOps Data Engineer Workday

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

John Grubb is the Sr. Director of FinOps and Cost Modeling at Platform.sh. With experience as a former Data Platform Director, Director of BI & Analytics, and Director of Customer Care, John brings a sharp perspective on why cloud costs matter. He knows how to align financial and engineering teams and believes that FinOps is about maximizing the value of every cloud dollar rather than just cutting costs.Follow John on Linkedin- https://www.linkedin.com/in/johnnygrubb/John's blog - https://www.thefinoperator.com/

Focus Sessions run by our host and sponsors: Protecting the planet from Generative AI (Capgemini Invent); Integrating FinOps & Sustainability (Apptio/IBM); Emissions Data - what can you believe? (GreenPixie); Kick-starting action on Sustainability (FinOps Ninja)

Lightning talk focusing on FinOps by Mike Bradbury.

Lightning talk focusing on FinOps by Alan Lapington.