Webinars

Data Observability for Data Lakes: The Next Frontier of Data Engineering

Ever had your CEO look at a report and say the numbers look way off? Has a customer ever called out incorrect data in one of your product dashboards? If this sounds familiar, data reliability should be the cornerstone of your data engineering strategy.This talk will introduce the concept of “data downtime”—periods of time when data is partial, erroneous, missing or otherwise inaccurate—and how to eliminate it in your data lake, as well as the rest of your data ecosystem. Data downtime is costly for organizations, yet is often addressed ad hoc. This session will discuss why data downtime matters to building a better data lake and tactics best-in-class organizations use to address it—including org structure, culture and technology.

Ready to Get Started? Here Are Some Resources to Help

Whitepaper Thumb

The Apache Iceberg Advantage

An in-depth review of Apache Iceberg, an open table format for enterprise data lakes.

read more

Sharing a Lakehouse at Nordea Asset Management – How we’re Implementing Data Domains with Dremio

Watch Andres Bogsnes, Master Expert at Nordea Asset Management on how Nordea Asset Management journey to implement Data Domains with Dremio globally.

read more

Decentralizing Data Access at Galp – The role of Dremio in Driving A Data Mesh Paradigm

Galp data strategy is built upon the pillar of democratizing data access and analytics, promoting decentralization when it comes to data product development.

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