Date: June 25, 2025
Time: 10 AM PT | 1 PM ET
The future of data architecture is already here: distributed, cloud-native, and AI-ready. Is your organization equipped to meet the moment?
Join leading data experts Sanjeev Mohan, Dave Burgess, and Mark Donsky for a live panel discussion on why distributed SQL has become a critical building block for modern data platforms—and what that means for companies struggling with the limits of traditional databases, sharding complexity, and patchwork scalability.
The panel will unpack the macro trends accelerating adoption of distributed SQL, including the surge in data-intensive applications, demand for real-time analytics, elastic scalability, cost pressure, and the rise of AI workloads.
You’ll hear firsthand how enterprises and SaaS innovators are overcoming the limitations of legacy databases, simplifying operations, and unlocking new AI-driven capabilities with distributed SQL solutions like TiDB.
You’ll gain practical perspectives on:
- The evolution of distributed databases: Why is now the tipping point for distributed SQL?
- Business drivers: Scale, performance, cost efficiency, compliance, and AI-readiness.
- Architectural innovations: How technologies like TiDB solve challenges of multi-region deployments, always-on availability, and mixed workload processing.
- Real-world use cases: From e-commerce scalability to powering retrieval-augmented generation (RAG), agentic memory, and semantic search for AI applications.
- Future trends: The role of distributed SQL in shaping cloud-native and AI-powered data strategies.
Whether you’re a CTO, architect, or data engineering leader, this discussion will equip you with the knowledge to assess how distributed SQL fits into your organization’s modernization journey. Register now to secure your spot!
Speakers
Sanjeev Mohan, Ex-Gartner VP of Big Data & Analytics and Principal, SanjMo
Sanjeev Mohan is an established thought leader in the areas of cloud, big data and analytics. He researches and advises on changing trends and technologies in the modern cloud data architectures. He started his data and analytics journey at Oracle, where he worked on emerging technologies. Until recently, he was a Gartner vice president known for his prolific and detailed research, and for directing the data and analytics agenda. Now a principal at SanjMo, he provides advisory and consulting services, covering modern data stacks, quality, security, governance, observability and operations.
Dave Burgess, Ex-Pinterest VP of Data Engineering and Technical Advisor
Dave Burgess is a Technical Advisor, Angel Investor, and former VP of Data Engineering at Pinterest. He has over 25 years’ experience building high performing teams with innovative and collaborative cultures, and delivering intuitive, scalable and highly-available SaaS products. Before Pinterest, Dave completed a doctorate at Oxford University and postdoctoral research at Stanford University in Numerical Analysis and Computing. He was the 4th engineer at E2open which provided visibility into supply chains, Chief Architect of Global Display Advertising Solutions at Yahoo!, CTO of a couple of startups in online advertising and social networking, and Head of Data Engineering at Twilio.
Mark Donsky, Principal Product Manager, PingCAP
Mark Donsky is a Principal Product Manager at PingCAP, where he leads product strategy, positioning, and competitive enablement for TiDB, a high-performance distributed SQL database. He has deep expertise in cloud databases, data security, and governance, helping organizations modernize their data infrastructure while ensuring compliance and performance at scale.