Waterline Data

Waterline Data is an automated data discovery platform that helps Data architects inventory all data in Hadoop automatically at scale, and provision data to business users securely and to make the data ready for analysis automatically without having to explore every file manually. Waterline Data also helps to discover lineage and business metadata automatically, as well as manage metadata.

Waterline Data Inventory automatically profiles and catalogs all the files in Hadoop, detects when the contents of files have changed and notifies users and inspects each field in a file to infer its meaning, tags the field accordingly, and generates key statistics and data quality metrics.

Features include automated profiling, automated discovery and self service. Waterline Data profiles data in the cluster and uses algorithms to compute detailed properties, and notifies administrators of changes. It discovers file lineage automatically, and allows users and auditors to view and drill into the lineage information. Waterline Data recognizes similar content across files based on user tagging and propagates tags to similar fields automatically.

Waterline Data Inventory allows users to create a Hive table with a click of a button and use it with a BI or visualization tool and makes it possible to analyze or visualize the data without any coding, making Hadoop accessible to a wider business audience.