One Solution for Multiple Organizations,
Diverse IT Environments and Evolving Needs
It starts by discovering all of your organization’s data regardless of its IT environment. You’ll then understand each data set, its permissions, sensitivity and integrations. As your data grows, Waterline Data catalog software automatically and incrementally “fingerprints” all data and infers data lineage by analyzing actual data values for relational, cloud and Hadoop data.
Using machine learning, Waterline Data catalog software automatically suggests tags and matches data fingerprints to business glossary terms. This process reduces manual tagging and the likelihood of human error while improving your overall metadata management.
Augmenting Waterline Data Catalog Fingerprinting function, data analysts and stewards accept or reject suggested tags. In the background, machine learning fine-tunes the tagging process, improving its metadata matching algorithm for a dramatic (and continuous) time savings compared to manual tagging processes.
Waterline Data Discovery capabilities help break down data silos and “dark data,” delivering the visibility needed to properly govern an entire organization’s data.
Map your compliance policies to your data assets, including identifying sensitive data, acceptable use, legal holds, expiration dates and other key criteria.
Leveraging an advanced data catalog software provides the foundation for comprehensive governance and compliance while delivering a widespread self-service analytics platform.
In the same manner online shopping sites allow you to easily find one product from millions, Waterline Data delivers search results and the data’s lineage.
Better and Faster Insight
Through Waterline’s collaborative platform, you’ll read peer reviews and comments on individual data sets to make more intelligent decisions on what data to use.
You have thousands of data sets with millions of distinct data fields across your company and that number is growing every day. Manually documenting your data isn’t an option! The long-term, automated solution is using your existing data assets (Hadoop, cloud, relational, etc.) so you can spend more time using data and less time looking for it.
Automating the process reduces the time needed to tag your data by 80% by using Waterline Data Fingerprinting™, which combines enterprise-wide data analysis, machine learning and human curation to catalog data and data lineage at scale.
Native Enterprise Data, Native Cloud Storage
Waterline Data’s cloud-native platform works on Hadoop and Spark to easily scale and handle all your enterprise’s data. It seamlessly integrates to Amazon S3, Azure, AWS and Google Clouds.
Data stewards can automatically accept/reject Waterline’s AI-based suggested tags all while the catalog software learns, fine-tunes and improves the matching algorithm.
Any Data Source
Work seamlessly across a wide variety of data sources (relational, files, Hadoop, cloud, etc.) because you never know where the most important data is located.
Self-service Data Catalog Software
As a business professional, you need to know where else data is being used and its quality. Waterline Data consolidates your organization’s diverse data knowledge through its collaborative capabilities, allowing you to quickly find the data you need using self-service analytics.
An intuitive web search interface has been designed specifically for the business user to easily search for trusted and curated data.
Easy to Integrate
Search directly from your existing data wrangling and visualization tools, integrated through Waterline’s REST APIs.
Ratings and Reviews
Leverage your peers’ knowledge by viewing their comments and reviews of specific data sets.
Automatically propagate data tags so users can easily find similar data.
Govern Your Data with Agility
Data Governance varies depending on geography and industry. Waterline provides a flexible solution to work in a variety of industries throughout the world.
Simplify data governance by delivering a truly scalable, automated and repeatable process for identifying sensitive data, capturing data lineage, and ensuring proper access and data use.
GDPR governance modules generate specific reports that highlight the location and proper use of GDPR-compliant data to demonstrate proper compliance processes to regulators.
Data Access Control
User and role management ensures proper data access for sensitive data and integrates directly with Apache Ranger and Cloudera Sentry to enable tag-based access control.
Usage Audit and Monitoring
Auditing provides full traceability on how all users have tagged, curated, commented and searched for data within their data catalog.