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Meet Monte Carlo at Databricks Data + AI Summit

Data Observability for the Data Lakehouse

Meet us at Databricks Data+AI Summit 2022 to learn about end-to-end data observability.

Databricks Data+AI Summit 2022

Bronze Sponsor | Booth #843

Join Monte Carlo in San Francisco • JUNE 27-30, 2022

NETWORKING RECEPTION

NETWORKING RECEPTION

Join Snowplow and Monte Carlo for an exclusive data leader’s reception with cocktails and catered bites.
Wednesday, June 29th
5:00-7:00PM
Marianne’s San Francisco

RSVP
SPARK AT DARK

SPARK AT DARK

Kick off Databricks with 3 hours of ping pong, flowing cocktails, catered bites, and data minds alike.
Tuesday, June 28 2022
9:00pm – 12:00am
SPIN San Francisco

RSVP
ENTER TO WIN AN APPLE WATCH

ENTER TO WIN AN APPLE WATCH

Enter for your chance to take home an Apple Watch Series 7 ($399 Value.) Giveaway will be selected at random on July 1st. Good luck!

ENTER TO WIN

Resources on Monte Carlo and Databricks

Learn how Monte Carlo provides Databricks customers with end-to-end data observability across their data lakehouse.

Monte Carlo Brings Data Observability to Data Lakes with New Databricks Integration

As companies leverage more and more data to drive decision-making and maintain their competitive edge, it’s crucial that this data is accurate and reliable. With the new Databricks integration from Monte Carlo, teams working in data lakes can finally trust their data through end-to-end data observability and automated lineage of their entire data ecosystem.

Learn More
Monte Carlo Brings Data Observability to Data Lakes with New Databricks Integration

Bringing Reliable Data and AI to the Cloud: A Q&A with Databricks’ Matei Zaharia

It’s one thing to say your company is data driven. It’s another thing to actually derive meaningful insights from your data. Just ask Matei Zaharia, original creator of Apache Spark. Since its original release in 2010 by Matei and U.C. Berkeley’s AMPLab, Apache Spark has emerged as one of the world’s leading open source cluster-computing frameworks, giving data teams a faster, more efficient way to process and collaborate on large-scale data analytics.

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Bringing Reliable Data and AI to the Cloud: A Q&A with Databricks’ Matei Zaharia

Interested in learning more about end-to-end data observability for Databricks?

Talk to Our Team