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Customers enjoy a holistic view of data quality metrics, descriptions, and dashboards, which surface where they need it most: at the point of consumption and analysis. Trust flags signal the trustworthiness of data, and dataprofiling helps users determine usability. Check out this demo to see for yourself.
Alignment to other tools in the organization’s tech stack Consider how well the MLOps tool integrates with your existing tools and workflows, such as data sources, dataengineering platforms, code repositories, CI/CD pipelines, monitoring systems, etc. For example, neptune.ai
Prime examples of this in the data catalog include: Trust Flags — Allow the data community to endorse, warn, and deprecate data to signal whether data can or can’t be used. DataProfiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape.
In addition, Alation provides a quick preview and sample of the data to help data scientists and analysts with greater data quality insights. Alation’s deep dataprofiling helps data scientists and analysts get important dataprofiling insights. Subscribe to Alation's Blog.
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