Leverage DQLabs’ Semantics Discovery for any type of data source with built-in support and integration for simplified metadata management and automate the process of discovering, inventorying, profiling, and tagging data.
Discover and extract semantics from various enterprise data warehouses, operational databases, enterprise applications, cloud data stores, nonrelational data stores, and many more with just a few clicks using out-of-the-box connectors.
Ignore formatting, locale and culture and identify the true data type at attribute level to find relevant data quality rules.
Configure at ease your own sensitivity levels per your data governance programs and automatically identify the sensitivity footprint andclassification at each attribute level.
With enriched semantics and business context for each attribute, let the platform discover all relevant data quality measurement rules for you.
Measurement without remediation does nothelp to improve data quality. With enriched metadata and semantics, now you can enjoy remediation libraries that can perform smart curation at every attribute or dataset level.
Perform semantic searches across dataset and find the most relevant datasets by various metrics such as data quality score, drift level, sensitivity classification etc., all within one platform.
Includes classification per the most up-to-date data privacy and security compliance regulations — such as the EU General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA).
Leverage an out of the box Data Quality platform with measurement, monitoring and remediation.
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