Just Launched: Dremio SQL Query Engine Data Quality Monitoring

It’s our goal at Monte Carlo to provide data observability and quality across the enterprise by monitoring every system vital in the delivery of data from source to consumption. 

We started with popular modern data warehouses and quickly expanded our support as data lakes became data lakehouses. 

Of course, most data architectures aren’t built atop a homogenous warehouse or lakehouse solution, so we have also added integrations with transactional databases, vector databases, and embedded analytical databases. And now, Dremio!

Ensuring Data Quality In Dremio

Dremio and its SQL Query Engine efficiently queries (but doesn’t move) data across a diverse set of sources. This helps keep runtimes and costs low, while giving teams flexibility in how they build and deliver data.

With Monte Carlo, data teams can easily discover virtualized datasets within the platform and create SQL Rules to monitor every data source to which Dremio is connected.

Dremio is a true lakehouse platform with features that bring structure and governance to virtual datasets with defined schema, metadata storage, semantic layer and more. When that schema changes threatening to disrupt delivery downstream, Monte Carlo will automatically detect and alert your team.

And for organizations that leverage Dremio as part of a larger data platform solution, Monte Carlo can help ensure data consistency with cross-database Comparison Rules.

Now data teams can leverage this lightning fast, cost optimized query engine while being assured they are delivering high quality data. With Monte Carlo, data teams are proactively alerted and the flow of bad data can even be interrupted with Circuit Breakers.

The Next Step In Your Lakehouse Journey

If you’re using Dremio, it’s time to start safeguarding your data quality. 

We can’t wait to show you how our platform can ensure your data reliability at every stage of the pipeline. Get in touch for a personalized demo today.

Our promise: we will show you the product.