Watch now and learn
From data discovery, classification and cataloging to governance, anonymization and better management of data over its lifetime.
Watch now and learn:
- How to make data discovery and classification easier and faster at scale with smart algorithms
- Best practices for standardization of data structures and semantics across organizations
- What’s driving the paradigm shift from development to declaration of data pipelines
- How to meet regulatory and audit requirements more easily with better transparency of data processes
You might think you know what’s in your data, but at enterprise scale, it’s almost impossible. Just because you have a column called ‘last name’, that’s not necessarily what it contains.
Automating data discovery by using data matching algorithms to identify and classify all your data – wherever it sits – can make the process vastly more efficient, as well as helping identify all the PII (Personally Identifiable Information) across your organization.
This webinar will show you how.
And you'll also see how you can translate data models into runnable code, so the process is no longer time-consuming, error-prone and requiring teams of people.
Brano Repcek is VP of product wherein he heads up the product team, working to continuously improve and evolve CloverDX and its features, providing new product releases quarterly.
CloverDX has been working at the coalface of data challenges since 2007. We’ve worked with companies large and small around the world, in industries such as finance, healthcare and consulting, to help them build and manage better data pipelines and deliver better data outcomes.