Dremio: TDWI – 10 Pitfalls Guide

August 14, 2020

A data lake is a centralized repository of all enterprise data that can store structured and unstructured data at any scale. Modern cloud data lakes are implemented with a loosely coupled architecture and have numerous benefits over tightly coupled data warehouses. This article explains the ten mistakes to avoid when querying data lakes, focusing on effective best practices for keeping data in data lake storage and querying it directly, thereby raising productivity and efficiency and lowering costs and complexity.

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.