Virtual Event: Foundations > Data & Analytics

For over a century, National Checking Company has been a staple in the restaurant industry, known for its GuestCheck order pads and other front-of-house essentials. Today, NCCO is redefining itself with digital solutions like cloud-based food labeling and operational management systems. That shift demands a new approach to data, one that connects legacy ERP systems with modern analytics platforms. In this session, Dean Sund, Data Analyst at NCCO, will share how the company is using CData Sync to unify multiple ERP databases into Snowflake, enabling real-time insights across the business. Learn how schema-level control, CDC replication, and thoughtful pipeline design are helping this heritage brand accelerate its digital strategy and compete in a data-driven marketplace.

Modern data ecosystems demand speed, agility, and governance—but integrating and accessing data across legacy systems, cloud platforms, and decentralized teams often leads to complexity and bottlenecks. In this session, Sven Wilbert from BearingPoint will share how leading financial services organizations are simplifying their data architecture using a semantic layer approach.

Learn how CData enables a secure, decoupled semantic layer that abstracts complexity and provides governed, real-time access to data—empowering teams across the organization. See how this layer complements Microsoft Fabric and Databricks to deliver scalable analytics, operational AI, and faster time to insight.

Sven will dive into real-world use cases from enterprises building a modern data stack that goes beyond simple data product delivery—toward a truly agile, insight- and AI-ready landscape based on the idea of "data environment as code".

Join Michael Docteroff, Senior Director of Delivery for Data and Analytics at Argano and CData's Field CTO, Rahul Pahuja, and as they unpack how data teams are adapting their architectures to meet the demands of AI-driven analytics, governance, and operational scale.

Drawing on field experience across enterprise environments, Michael will share key perspectives on evaluating and evolving modern data strategies. From choosing between native pipeline tools (Databricks, Microsoft Azure Data Fabric) and fully managed platforms like CData, to understanding when to leverage data warehouses versus semantic layers, the session offers guidance for building resilient, AI-ready architectures.

This session is ideal for data engineers, architects, and platform owners looking to modernize their stack while preparing for the next generation of AI-enabled data experiences.

AI innovation is evolving at lightning speed—but what happens when two powerful platforms converge to unlock its full potential? Join Andrew Chabot, Senior Manager of Data Engineering at FinThrive, and Eric Tome, Senior Solutions Architect at Databricks, for a dynamic, hands-on session showcasing the synergy between Databricks Genie and CData.

Through a real-world use case and a live demo, Andrew and Eric will demonstrate how combining a governed semantic layer from CData with the advanced AI capabilities of Databricks Genie can dramatically accelerate time-to-insight, drive smarter automation, and empower rapid experimentation with production-ready outcomes.

The Databricks Data Intelligence Platform provides an open, unified foundation for enabling analytics and AI. But onboarding diverse data sources, particularly legacy and on-premises systems, can be complex. In this session, Elise Georis, Senior Staff Product Manager for Lakeflow Connect, explores how Databricks and CData are working together to streamline connectivity and reduce friction in the data ingestion process. Attendees will see how CData extends Databricks' native capabilities to rapidly connect hundreds of SaaS applications, databases, and file-based sources without the need for custom pipelines or brittle one-off integrations. Join us to learn how to accelerate time to insights and maximize the value of the Lakehouse.

When disconnected systems and unreliable sync processes began slowing innovation, Red Wing Shoes took a bold step toward modernization. In this session, Buck Debnam, Replication Manager at Red Wing Shoes, shares how he used CData to unify a fragmented landscape of local servers and move toward a more connected, cloud-enabled architecture-while preserving the hybrid infrastructure their business demands.

Buck will walk through how Red Wing rebuilt its data architecture to support the rollout of a new point-of-sale system across more than 500 retail stores, improving reliability and performance while reducing manual overhead. He will also detail their core use cases, including replicating data from SQL Server to SQL Server and Fabric, and from Salesforce into SQL Server and Fabric, to streamline reporting and support operational decision-making. Their CData implementation also lays the groundwork for future cloud initiatives, including planned use of Lakehouse architecture and OneLake Mirroring.

This session is ideal for data leaders and architects who are modernizing enterprise pipelines and looking for flexible tools to connect legacy systems with modern platforms.