Data Observability
Data Observability
How to Migrate to Snowflake Like a Boss
3 things you need to know for a smooth migration.
Data Observability
Snowflake Observability and 4 Reasons Data Teams Should Invest In It
Snowflake is a gamechanger for your data strategy. With the right approach to Snowflake observability, you can unlock its full value.
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.
Data Observability
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 Observability
You Have More Data Quality Issues Than You Think
On average, companies experience one data issue for every 15 tables in their warehouse. Here are 8 reasons why and what you can do to prevent data quality issues.
Data Observability
The Cost of Bad Data Has Gone Up. Here Are 8 Reasons Why.
The rising cost of bad data and poor data quality has nothing to do with inflation and everything to do with these 8 drivers.
Data Observability
Data Observability Doesn’t Just Create Savings – It Drives Revenue, Too
If you think the benefits of data observability stop at cost cutting or avoiding bad outcomes, you’re only looking at half of the equation. Data observability can drive new sources of revenue, too.
AI Culture
Treat Your Data Like An Engineering Problem: An Interview with Snowflake Director of Product Management Chris Child
Snowflake Director of Product Management Chris Child talks about the role of data observability solutions in the modern data stack and more.
Data Platforms
Reverse ETL: The Missing Piece of the Data Quality Puzzle
Reverse ETL tools eliminate data wait times by pushing fresh, real-time data and insights into the apps you use every day. Here’s how.
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Data Platforms
Data Ingestion: 7 Challenges and 4 Best Practices
Data ingestion involves collecting data from source systems and moving it to a data warehouse or lake. Read on for the top challenges and best practices.
Data Observability
Data Observability: How to Build Your Own Data Anomaly Detectors Using SQL
How to use metadata to understand the root cause of data anomalies and take your data quality testing to the next level.
Data Observability
Demystifying Data Observability
3 practical examples on how to get started with data observability
Case Studies
How Checkout.com Achieves Data Reliability at Scale with Monte Carlo
Learn how Checkout.com gained visibility into data across domains, scaled data quality checks, and achieved reliability at scale.
Case Studies
How Swimply Built Its Hyper Growth Data Stack with Snowflake, Fivetran, and Monte Carlo
Learn how Swimply, the two-sided experiences marketplace, delivers reliable, trustworthy data with Monte Carlo, Snowflake, and Fivetran.
Case Studies
How The Farmer’s Dog Achieves Self-Serve Data Observability with Monte Carlo
How the data team at The Farmer's Dog, a fresh dog food company, achieves reliable data pipelines with automated, end-to-end data observability.