Featured Resource
Watch quick or full product demos on how we help data engineering teams detect, alert, and resolve data incidents before they cause business impacts.
In this session we’ll discuss how to use Deequ, a data quality library that’s purpose-built for Spark, to develop a data monitoring and QA system that will enable you to meet SLAs guaranteed to your analytics users, scientists, and other business stakeholders.
View Panoply’s formulated list of the top 6 data observability tools in the market.
See how data products become central to companies' bottom line, and why data engineering teams need to create higher standards for the availability, completeness, and fidelity of their data.
Josh Benamram (CEO) and Michael Harper (Solution Architect) discuss how you can better guarantee your data quality SLAs with Deequ & Databand at the Data+AI Summit 2021 hosted by Databricks.
