Waterline Data is releasing the Smart Data Catalog (SDC) 4.03, the latest version of its solution designed to help enterprises with multiple petabytes of data mange it.
Waterline initially addressed data cataloging using “tags” to track the lineage of every piece of data. The latest version to be released Nov. 13 (version 4.03) incorporates machine learning along with scaling and native platform support.
Waterline Data today announced the release of Smart Data Catalog (SDC) 4.03, the latest version of its solution designed to help enterprises with multiple petabytes of data, manage and gain insight into data instead of drowning in it.
Businesses and organizations around the world are scrambling to insure their operations will be compliant with the sweeping changes that the General Data Protection Regulation (GDPR) will usher in next May. Among the businesses most critically impacted by GDPR are credit reporting firms, which collect and disseminate enormous volumes of personal data on millions of individuals and businesses.
Waterline announces the appointment of Jason Lloyd as Vice President of Finance to lead all aspects of Finance and Human Resources for Waterline Data while Mohan Sadashiva is promoted to Senior Vice President of Technical Sales to oversee all pre and post sales technical support for Waterline’s Smart Data Catalog (SDC).
Like it or not, most businesses in the United States will have to follow GDPR. That includes small shops with an online store and with customers based in the EU. But new studies show that when May 25, 2018, comes around, a lot of companies, large and small, are going to be unprepared.
Waterline Data announces the appointments of two experienced executives to its management team. Venkat Subramanian joins as Vice President of Engineering while Andrew Ahn is promoted to Vice President of Product Marketing
Waterline Data was named for the third time in a row to the Constellation ShortList™ for Data Cataloging.
( In French) The Californian company develops an automated data cataloging solution that discovers data that has been lost or hidden and therefore under exploited. Its idea is to restore structure to data lakes that are often too swampy.