This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Announcing DataOps DataQuality TestGen 3.0: Open-Source, Generative DataQuality Software. You don’t have to imagine — start using it today: [link] Introducing DataQuality Scoring in Open Source DataOps DataQuality TestGen 3.0! New Quality Dashboard & Score Explorer.
What We’ve Covered Throughout the One Big Cluster Stuck series we’ve explored impactful best practices to gain control of your Cloudera Data platform (CDP) environment and significantly improve its health and performance. DataQuality & Data Governance Extensibility Like data standardization this goes to the heart of trusted data.
This dashboard helps our operations team and end customers improve the dataquality of key attribution and reduce manual intervention. This framework can be described as follows: Findable – Metadata and data should be easy to find for both humans and computers.
Metadata management has played a role in data governance and analytics for many years. It wasnt until the emergence of the data catalog as a product category just over a decade ago that enterprises had a platform for metadata-driven data management that could span multiple departments and use cases across an entire enterprise.
The scorecard speaks for itself. The real risk of making impactful business decisions with questionable data lineage and quality was obvious. Data and AI-driven conversations are now emerging between humans and systems where agency and interoperability now replace codified integration and centralization.
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content