Interactive Analytics: Make Analytics Feel Instant

Why attend

Your users expect analytics to feel instant.
Your teams need data to stay governed. Many stacks solve speed by pushing workloads into separate OLAP systems, then spend months managing pipelines, copies, tuning and access controls.

Snowflake Interactive Analytics adds a native serving layer for high-speed, high-concurrency queries on continuously fresh data. With Interactive Tables and Interactive Warehouses, you can deliver predictable performance for BI and apps, even during peak traffic, while keeping a single governed copy of data.

What you will learn in 30 minutes

• Deliver sub-second performance at scale
  Achieve consistent, low-latency selective reads for thousands of concurrent queries without queueing or tuning.

• Unify your data architecture
  Accelerate innovation and reduce operational overhead by consolidating onto a single trusted platform, eliminating the need for separate serving databases.

• Empower AI-driven applications
  Handle high-frequency programmatic queries from AI agents and apps without provisioning overhead.

• Reduce Total Cost of Ownership
  Leverage Interactive Warehouses to achieve up to 60% cost savings compared to equivalent standard warehouses while removing the maintenance of separate OLAP engines.

• Ensure governance and security
  Maintain a single, governed copy of data across all workloads, preventing duplication and ensuring compliance.

What you’ll see

• Technology Deep Dive
  Explore the two critical components (Interactive Tables and Interactive Warehouses) that deliver high-concurrency, low-latency performance.

• Real-World Use Cases
  See how teams are building real-time dashboards for operations and finance, and enabling data-backed APIs for customer-facing products.

• Performance vs. Complexity
  Learn how to shift focus from complex performance configuration and system tuning to high-value development and innovation.

You’ll leave with practical ideas you can apply in your own environments.

Who should attend?
 

• Data Platform Owners & Architects looking to modernize their analytics stack and reduce infrastructure sprawl.

• Data Engineers & Builders who want to focus on innovation rather than managing brittle pipelines and tuning indexes.

• Business Intelligence Leaders who need to deliver fast, always-fresh dashboards to internal teams and customers.