The Data Downtime Blog
Data Engineers Spend Two Days Per Week Firefighting Bad Data, Data Quality Survey Says
Check out the results from our 2022 data quality survey and benchmark your data quality practices against 300 of your peers.
Data Observability First, Data Catalog Second. Here’s Why.
You can’t realize the full value of a data catalog without observability. Here’s why.
A Matter of Trust
Why data quality professionals should start measuring data uptime.
Announcements
Data Engineers Spend Two Days Per Week Firefighting Bad Data, Data Quality Survey Says
Check out the results from our 2022 data quality survey and benchmark your data quality practices against 300 of your…
Monte Carlo and Databricks Partner to Help Companies Build More Reliable Data Lakehouses
Learn more about the Monte Carlo-Databricks partnership and how it brings end-to-end data observability and data quality automation tools to…
Monte Carlo Achieves Snowflake Premier Partner Status to Help Companies Accelerate the Adoption of Reliable Data
With over 70 mutual customers, Monte Carlo becomes the first data observability provider to achieve Snowflake Premier Partner status.
Case Studies
How to Measure the Impact of Your Data Team
It’s one thing to build a data team, but how do you measure it? We spoke with Jacob Follis at…
How Monte Carlo and Snowflake Gave Vimeo a “Get Out Of Jail Free” Card For Data Fire Drills
See how Snowflake and Monte Carlo helped Vimeo achieve world-class data reliability on a massive scale.
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 Culture
How to Measure the Impact of Your Data Team
It’s one thing to build a data team, but how do you measure it? We spoke with Jacob Follis at…
How to Set KPIs for Your Data Team
Six critical steps to setting the right KPIs for your data team - all while keeping a steady pulse on…
How to Build a Culture of Data Trust: A Conversation with Hilary Mason
We sat down with Hilary Mason, former GM of Machine Learning at Cloudera and co-founder of HackNY, to learn more…
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 Platforms Are Best For Data Lakes
Here are 5 reasons why using a data discovery platform is a better alternative to data catalogs to ensure your…
Data Observability
The Future of Big Data Analytics: 5 Trends of Tomorrow
What does the future of big data analytics hold? Will our analytical tools scale fast enough to provide real business…
Data Observability First, Data Catalog Second. Here’s Why.
You can’t realize the full value of a data catalog without observability. Here’s why.
Data Platforms
How We’re Implementing a Data Mesh at Sanne Group
Sanne Group's Head of Engineering shares his data mesh implementation plan and how they plan to adopt its four key…
Using the Airflow ShortCircuitOperator to Stop Bad Data From Reaching ETL Pipelines
See how to leverage the Airflow ShortCircuitOperator to create data circuit breakers to prevent bad data from reaching your data…
Data Lake vs Data Warehouse: 3 Key Differences
Data warehouse? Data lake? Data lakehouse? All of the above? Here’s what you need to know to make the right…
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.