The Data Downtime Blog
Monte Carlo’s Series D and the Future of Data Observability
When it comes to building a category, it’s all about your customers. Here's our vision for the future of reliable data.
Introducing the Next Class of Data Reliability Pioneers
A new wave of companies are adopting end-to-end data observability. Here are their stories.
Monte Carlo Raises $135M Series D to Accelerate the Rapid Growth of the Data Observability Category
Monte Carlo's latest round signals their commitment to bringing reliable data to companies everywhere.
Announcements
Monte Carlo’s Series D and the Future of Data Observability
When it comes to building a category, it’s all about your customers. Here's our vision for the future of reliable…
Monte Carlo Raises $135M Series D to Accelerate the Rapid Growth of the Data Observability Category
Monte Carlo's latest round signals their commitment to bringing reliable data to companies everywhere.
Introducing the Next Class of Data Reliability Pioneers
A new wave of companies are adopting end-to-end data observability. Here are their stories. …
Case Studies
Introducing the Next Class of Data Reliability Pioneers
A new wave of companies are adopting end-to-end data observability. Here are their stories. …
Data Reliability at Scale: How Fox Digital Architected its Modern Data Stack
Here's how Fox Digital built their modern data stack with scale, data reliability, and performance in mind.
Delivering on Data Quality: How Choozle Reduced Data Downtime by 88% with Monte Carlo
Snowflake and Monte Carlo enabled the advertising platform to dramatically scale the insights it provides with end-to-end data observability across…
Data Culture
Data Stewards Have The Worst Seat At The Table
Data stewards have an impossible job. Here’s why and what we can do to empower them.
Vanquish Toil: 9 Data Engineering Processes Ripe For Automation
Data engineers must automate to survive. Especially these 9 data engineering processes.
Monte Carlo Announces Release of Observability Platform for Locally Sourced, Small-Batch Data
If you are part of the new wave of data engineers who are nostalgic for data platforms the way they…
Data Discovery
Stop Treating Your Data Engineer Like A Data Catalog
How to build a data certification program so everyone knows what to expect and what data to trust.
What in the World is Going on with Data Catalogs?
Data catalogs are having an identity crisis. Here’s why.
5 Reasons Data Discovery Tools Are Best For Data Lakes
How data catalogs are failing us and why data discovery can help.
Data Observability
Data Lineage is Broken – Here Are 5 Ways to Fix It
Data lineage is a must-have feature of the modern data stack, yet we're struggling to derive value from it. Here's…
Is DataOps the Future Of the Modern Data Stack?
As data needs scale, teams need to start prioritizing reliability. Here’s why DataOps might be the answer—and how you can…
5 Ways to Improve Data Quality with the New Monte Carlo Data Quality Trends Dashboard
The new Monte Carlo Dashboard incorporates data and visualization to provide actionable insights to users across data teams.
Data Platforms
3 Simple Steps For Snowflake Cost Optimization Without Getting Too Crazy
Snowflake cost optimization efforts need to be right sized. Read how to get the most savings without investing too much time…
4 Native Snowflake Data Quality Features You Should Know
The bad news? Data breaks. The good news? These 4 Snowflake data quality features can help!…
Don’t Make a Schema Change Before Answering These Five Questions
Not all schema changes are equal. Here is what to ask yourself before pushing your code off to production.
Data Reliability
Data Lineage is Broken – Here Are 5 Ways to Fix It
Data lineage is a must-have feature of the modern data stack, yet we're struggling to derive value from it. Here's…
Is DataOps the Future Of the Modern Data Stack?
As data needs scale, teams need to start prioritizing reliability. Here’s why DataOps might be the answer—and how you can…
Don’t Make a Schema Change Before Answering These Five Questions
Not all schema changes are equal. Here is what to ask yourself before pushing your code off to production.