Enable javascript in your browser for better experience. Need to know to enable it? Go here.
Menu
Close
Platforms Back
Published : Oct 26, 2022
NOT ON THE CURRENT EDITION
This blip is not on the current edition of the Radar. If it was on one of the last few editions, it is likely that it is still relevant. If the blip is older, it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the Radar. Understand more
Oct 2022
Trial ?

Monte Carlo is a data observability platform. Using machine learning models, it infers and learns about data, identifying issues and notifying users when they arise. It allows our teams to maintain data quality across ETL pipelines, data lakes, data warehouses and business intelligence (BI) reports. With features such as monitoring dashboards as code, a central data catalog and field-level lineage, our teams find Monte Carlo to be an invaluable tool for overall data governance.

Download the PDF

 

 

English | Español | Português | 中文

Sign up for the Technology Radar newsletter

 

Subscribe now

Visit our archive to read previous volumes

Go to archive

Thoughtworks acknowledges the Traditional Owners of the land where we work and live, and their continued connection to Country. We pay our respects to Elders past and present. Aboriginal and Torres Strait Islander peoples were the world's first scientists, technologists, engineers and mathematicians. We celebrate the stories, culture and traditions of Aboriginal and Torres Strait Islander Elders of all communities who also work and live on this land. 

 

As a company, we invite Thoughtworkers to be actively engaged in advancing reconciliation and strengthen their solidarity with the First Peoples of Australia. Since 2019, we have been working with Reconciliation Australia to formalize our commitment and take meaningful action to advance reconciliation. We invite you to review our Reconciliation Action Plan.