The Data Downtime Blog
Monte Carlo Announces Delta Lake, Unity Catalog Integrations To Bring End-to-End Data Observability to Databricks
To help organizations realize the full potential of their data lake and lakehouse investments, Monte Carlo, the data observability leader, is proud to announce integrations with Delta Lake and Databricks’ Unity Catalog for full data observability coverage.
I Don’t Care How Big Your Data Is
Big data or big ego? Innuendo aside, “big” data is getting smaller and smarter. Data leaders need to adjust to the new paradigm.
Snowflake Summit 2022: For Customers, Less Than 25 Percent of Data Actually Lives on the Cloud
We surveyed over 200 data leaders at Snowflake Summit about how they're leveraging data in the cloud. Here's what we learned.
Announcements
Monte Carlo Announces Delta Lake, Unity Catalog Integrations To Bring End-to-End Data Observability to Databricks
To help organizations realize the full potential of their data lake and lakehouse investments, Monte Carlo, the data observability leader,…
Snowflake Summit 2022: For Customers, Less Than 25 Percent of Data Actually Lives on the Cloud
We surveyed over 200 data leaders at Snowflake Summit about how they're leveraging data in the cloud. Here's what we…
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…
Case Studies
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 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.
Data Culture
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…
Snowflake Summit 2022: For Customers, Less Than 25 Percent of Data Actually Lives on the Cloud
We surveyed over 200 data leaders at Snowflake Summit about how they're leveraging data in the cloud. Here's what we…
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.
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
4 Reasons Why Every Data Team on Snowflake Should Invest in Data Observability
Snowflake is a gamechanger for your data strategy. With the right approach to data observability, you can unlock its full…
Building An External Data Product Is Different. Trust Me. (but read this anyway)
Developing an external data product is different, and let's face it harder, than serving internal customers. We dive into 5…
Building Spark Lineage For Data Lakes
Spark lineage has been a blindspot for the data engineering industry so we set off to engineer a solution. Here's…
Data Platforms
I Don’t Care How Big Your Data Is
Big data or big ego? Innuendo aside, “big” data is getting smaller and smarter. Data leaders need to adjust to…
Snowflake Summit 2022 Keynote Recap: Disrupting Data Application Development in the Cloud
A view from the 10th row on Unistore, Python in Snowpark, and more exciting announcements from SFDC leadership.
Building An External Data Product Is Different. Trust Me. (but read this anyway)
Developing an external data product is different, and let's face it harder, than serving internal customers. We dive into 5…
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.