How do you know where you’re going with your data architecture before you start building the pipes?

Join us for our inaugural Datablazers Coffee Chat, a conversational virtual gathering where practitioners can explore the questions we’re all working through, compare approaches, and learn from one another.

For our first conversation, we’re going back to an essential architecture question: What does your data architecture actually need to enable?

Our guest, Anu Pandey, is a Solution and Data Architect, Datablazer, and one of the authors of the Data 360 Fast Start playbook. Together, we’ll explore the decisions that should come before selecting connectors, integration patterns, or platforms.

We’ll discuss questions including:

• What data actually needs to be unified—and what can remain where it is?

• How should business outcomes and use cases shape your architecture?

• Where do governance, metadata, and data quality fit into the design?

• Which requirements truly need real-time data?

• How should Data 360 complement your existing data and integration architecture?

• How do AI and agentic use cases change the architecture decisions you make today?

This isn't intended to be a presentation followed by Q&A. Bring your coffee, questions, experiences, and opinions. Come ready to discuss what you're designing toward, the tradeoffs you're encountering, and what you've learned along the way.

Depending on attendance, we'll use smaller breakout conversations so participants have an opportunity to contribute, compare approaches, and learn from fellow practitioners.

August 25, 2026 | 9:00–10:00 AM PT | Virtual

Whether you're a customer defining your own data strategy or a consultant helping clients make these decisions, come join your fellow Datablazers for an hour of practical architecture conversation.