Data testing involves the verification and validation of datasets to confirm they adhere to specific requirements.
Data testing tools are software applications designed to assist data engineers and other professionals in validating, analyzing, and maintaining data quality.
Data ingestion is the process of obtaining, importing, and processing data for later use or storage in a database.
A data anomaly, also known as an outlier, is an observation or data point that deviates significantly from the norm, making it inconsistent with the rest of the dataset.
Data reliability is an important concept when working with big data. Learn what it means and how observability can help.
Databand’s May product update is now available! In this update, we focused on enhancing integration with Snowflake and adding new role-based access controls with Databand Groups.
This blog will walk through how you can set alert notifications for a dataset errors such as data SLAs, column changes, null records, and much more.