Avoiding the Architecture Undertow: Building Lighting-Fast Queries with Blazing Fast Object Storage

Organizations are increasingly levering analytics to turn data into insights for competitive advantage. However, the architectural considerations for platforms that support large data lake deployments of analytics applications change significantly as these efforts mature beyond small scale to large scale environments. One highly successful trend is the adoption of object storage in analytics allowing data teams to be able to analyze data anywhere and everywhere. In this session we will explore how to build out an enterprise scale data lake for lightning-fast queries with blazing fast object storage.

Topics Covered

Dremio Subsurface: Advanced Storage Solutions

Ready to Get Started? Here Are Some Resources to Help


Dremio’s Well-Architected Framework

read more
Whitepaper Thumb


Harness Snowflake Data’s Full Potential with Dremio

read more
Whitepaper Thumb


Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse

read more
get started

Get Started Free

No time limit - totally free - just the way you like it.

Sign Up Now
demo on demand

See Dremio in Action

Not ready to get started today? See the platform in action.

Watch Demo
talk expert

Talk to an Expert

Not sure where to start? Get your questions answered fast.

Contact Us

Ready to Get Started?

Bring your users closer to the data with organization-wide self-service analytics and lakehouse flexibility, scalability, and performance at a fraction of the cost. Run Dremio anywhere with self-managed software or Dremio Cloud.