Alation Brief
Data quality should always be a top priority for your business. To ensure quality outputs, your data users need to know that they are working with trustworthy data! Top cloud data solution providers like Snowflake and Databricks also know this and have created tools to help analyze your data and return quality information based on rules you can apply. Now, how can your business users gain information from these results?
Alation’s new Data Quality Processor allows businesses to import data quality information generated by Snowflake and Databricks and apply rules to determine whether the results indicate their data is poor quality.
Learn how Alation’s Data Quality Processor can help you:
Have a better understanding of the quality of your data.
Give data experts the ability to create rules to set data quality thresholds.
Leverage Alation’s Data Quality Framework to visualize data quality and health.
Learn about available rules that can be applied to areas of your business.
Whitepaper
As AI utility increases, organizations are rethinking how they monitor and maintain data quality at scale to deliver trusted data for confident decisions. But traditional approaches often fall short—failing to keep up with chaos of data sprawl, silos, and ever-growing business demand.
Webinar Registration
Poor data quality costs organizations millions in lost trust, wasted time, and bad decisions. Traditional data quality approaches are manual, slow, and often miss what matters most.
Webinar On-Demand
Data products bridge raw data and business outcomes - but most organizations struggle to define, build, and scale them.