Now Available On-Demand

IMPACT 2021

The Data Observability Summit

Introducing the first-ever Data Observability Summit. Watch the keynote sessions featuring data leaders pioneering the technologies, processes, and culture shaping data engineering and analytics.

Large illo_Teamwork

Hear from the leaders defining the most impactful movements in data

A half-day event featuring data leaders pioneering the technologies, processes, and culture shaping data engineering and analytics.

Bob Muglia

Former CEO of Snowflake

Snowflake

DJ Patil

First U.S. Chief Data Scientist

 

us-logo

 

 

 

Zhamak Dehghani

Founder of the Data Mesh

 

Thoughtworks

Maxime Beauchemin

Creator of Apache Airflow & Co-founder of Preset

 

Preset

Reynold Xin

Co-founder and Chief Architect of Databricks

 

 

Databricks

Neha Narkhede

Creator of Apache Kafka & Co-founder of Confluent

 

confluent-partner

Barr Moses

Co-Founder, CEO of Monte Carlo

 

Monte Carlo_Logo_Primary

Amit Agarwal

Chief Product Officer of Datadog

 

Datadog

Molly Vorwerck

Head of Content of Monte Carlo

 

Monte Carlo_Logo_Primary

BIG PICTURE

Create a real IMPACT with data

As businesses increasingly rely on data to drive better decision making and maintain their competitive edge, it’s mission critical that this data is accurate and reliable. Simultaneously, companies are ingesting more data than ever before, with data  systems becoming increasingly complex.

But what does it take to trust your data?

Join today's leading data pioneers as they share key strategies to make a real IMPACT with your data at the industry's first-ever Data Observability Summit! 

Med illo_Lightbulb

Road to Impact 

A three-part event series leading up to The Data Observability Summit

DATA RELIABILITY MATTERS

Ask The Experts

“Data teams often overlook the bigger picture around data reliability; that’s the missing piece to unlocking the full potential of your data.”

“It’s critical to have clean and reliable data to get the most value from your insights. Especially as companies grow and more people are using the data, having an error in a key metric can lead to many bad decisions and bad algorithm recommendations.”

“It doesn’t matter how advanced your data infrastructure is if you can’t trust your data reliability.”