Waterline Data Unveils Universal Data Catalog to Empower Citizen Data Scientists

wdby Angela Guess

According to a new press release, “Waterline Data, The Smart Data Catalog Company, continues to clear the hurdles impeding Hadoop adoption in the enterprise by announcing today the immediate availability of Smart Data Catalog 3.0, the latest version of the industry’s most comprehensive data catalog available. Waterline Data allows organizations to replace manual tagging of metadata with an automated process that rapidly classifies the data assets in their data lake, including new data even as it’s created. Unlike catalogs that scan historical SQL logs, Waterline Data automatically catalogs every field of data in the data lake while capturing and learning from tribal knowledge. With the company’s latest version of Smart Data Catalog, data engineers, data scientists and business analysts get even easier self-service access to trusted, high quality data for faster discovery, understanding, use and governance.”

The release continues, “Smart Data Catalog 3.0 includes: (1) Data browsing by business category. A new catalog view includes enhanced self-service that allows business analysts to browse data by business category-an industry first. The ease in which non-engineers are now able to access high quality and trusted data allows for much faster understanding and use. (2) Integration with the Cloudera Navigator and Hortonworks Atlas data governance frameworks. Customers can now accelerate data discovery, governance and time to value through Waterline Data’s smart data discovery capabilities. Both frameworks are automatically updated with all the metadata Waterline Data uncovers, and all sensitive data and data lineage is cataloged to ensure data compliance and trust. (3) Universal integration with analytics, visualization and more. Support for integration with any analytics, visualization or other third party tool offers maximum flexibility, and the ability to derive endless benefits from innovative applications.”

Read more at Marketwired.

Photo credit: Waterline Data

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