Demand for data catalogs is soaring as organizations struggle to inventory distributed data assets to facilitate data monetization and conform to regulations.*

Data catalogs increase the business value of data and analytics investments 

Data catalogs have graduated from an up-and-coming technology to an enterprise MUST-HAVE for data and analytics leaders. Gartner declared data catalogs as “the new black in data management and analytics” and now they are recognized as a central technology for data management.  

According to the Gartner research report, “Demand for data catalogs is soaring as organizations continue to struggle with finding, inventorying and analyzing vastly distributed and diverse data assets. Data and analytics leaders must investigate and adopt ML-augmented data catalogs as part of their overall data management solutions strategy."

Augmented Data Catalogs — Now an Enterprise Must-Have for Data and Analytics Leaders

Augmented Data Catalogs — Now an Enterprise Must-Have for Data and Analytics Leaders




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Read this Report to Learn:

The role of machine learning in simplifying the process of discovering, inventorying, profiling, tagging, and creating semantic relationships between distributed and siloed data assets 

How modern data catalogs allow users to perform “Google-like” semantic search over metadata 

How a data cataloging capability can help organizations break down barriers to data lake adoption 

Which data catalog to invest in when your cataloging requirements transcend a single tool, environment, or use case

The importance of data lineage in navigating data privacy and security compliance regulations 

*Augmented Data Catalogs: Now an Enterprise Must-Have for Data and Analytics Leaders by Ehtisham Zaidi and Guido De Simoni, 12 September 2019

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