The Data Downtime Blog
How BlaBlaCar Reduced Data Incident Time to Resolution by 100+ Hours Per Quarter with Monte Carlo
As part of their data mesh migration, the carpooling company’s data engineering team unlocked unprecedented levels of productivity through decentralization, tight governance, and data observability.
How To Implement Data Mesh: Practical Tips From 4 Data Leaders
Four data leaders from leading organizations give their practical advice on how to implement data mesh.
Driving Customer Impact with Product Design at Monte Carlo
Considering a role in product design at a SaaS startup? Matthew Stevens, a member of Monte Carlo's product design team, highlights why he chose to join the company.
Data Observability
How BlaBlaCar Reduced Data Incident Time to Resolution by 100+ Hours Per Quarter with Monte Carlo
As part of their data mesh migration, the carpooling company’s data engineering team unlocked unprecedented levels of productivity through decentralization,…
How To Implement Data Mesh: Practical Tips From 4 Data Leaders
Four data leaders from leading organizations give their practical advice on how to implement data mesh.
How SeatGeek Reduced Data Incidents to Zero with Data Observability
In this video, SeatGeek's Brian London and Kyle Shannon share how data observability helped their data team reduce data incidents…
Data Platforms
How To Implement Data Mesh: Practical Tips From 4 Data Leaders
Four data leaders from leading organizations give their practical advice on how to implement data mesh.
The Slow, Agonizing Death of the Customer Data Platform
Long live the composable customer data platform. Or, why marketing and data teams should be friends.
4 Data Mesh Principles To Get One Step Closer To Data Nirvana
There is no one single recipe for building a data mesh. Instead, there are core principles that guide you. Here…
Data Culture
Driving Customer Impact with Product Design at Monte Carlo
Considering a role in product design at a SaaS startup? Matthew Stevens, a member of Monte Carlo's product design team,…
How Data and Finance Teams Can Be Friends (And Stop Being Frenemies)
Part one in a practical data leader series: how data leaders can better work with the finance team.
What’s Next for Data Engineering in 2023? 13 Predictions
Data trend predictions from two industry veterans who have made big bets on the future of data engineering.
Data Reliability
How Data and Finance Teams Can Be Friends (And Stop Being Frenemies)
Part one in a practical data leader series: how data leaders can better work with the finance team.
What’s Next for Data Engineering in 2023? 13 Predictions
Data trend predictions from two industry veterans who have made big bets on the future of data engineering.
How to Quickly Connect Power BI to Snowflake
Power BI Desktop connects to Snowflake easily in much the same way that all other data sources are connected. Here’s…
Case Studies
How BlaBlaCar Reduced Data Incident Time to Resolution by 100+ Hours Per Quarter with Monte Carlo
As part of their data mesh migration, the carpooling company’s data engineering team unlocked unprecedented levels of productivity through decentralization,…
How SeatGeek Reduced Data Incidents to Zero with Data Observability
In this video, SeatGeek's Brian London and Kyle Shannon share how data observability helped their data team reduce data incidents…
How Dr. Squatch Keeps Data Clean & Fresh with Monte Carlo
Data observability helps the groundbreaking men’s personal care product company maintain excellent data hygiene.
Announcements
Monte Carlo Announces Power BI Integration to Help Data Teams Triage and Prevent Data Incidents at Scale
Monte Carlo's new integration with Microsoft Power BI helps data teams detect, triage, and understand the downstream impact of data…
Announcing Monte Carlo’s Data Reliability Dashboard, a Better Way Understand the Health of Your Data
Data Reliability Dashboard gives data engineers the tools necessary to measure data uptime, drive operational improvements, and scale reliability.
Monitoring for the dbt Semantic Layer and Beyond
Let’s talk about the dbt Semantic Layer as well as anomaly detection, resolution, and prevention across the data most important…