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What is metadata management and why is it important?

Collibra

Metadata management is a cross-organizational agreement on how to define informational assets for converting data into an enterprise asset. As data volumes and diversity grow, metadata management is even more critical to derive business value from the gigantic amounts of data. . What is Metadata? Again, a partial definition. .

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What is metadata management?

Collibra

Metadata management is a cross-organizational agreement on how to define informational assets for converting data into an enterprise asset. As data volumes and diversity grow, metadata management is even more critical to derive business value from the gigantic amounts of data. . What is Metadata? Who created this data?

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5 Ways Data Modeling Is Critical to Data Governance

erwin

Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. So here’s why data modeling is so critical to data governance. New ODBC query tool for creating and running custom model and metadata reports.

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Active metadata graphs and machine learning for Data Intelligence

Collibra

Implementing the right metadata management solution can positively impact an organization’s data strategy to maximize data use and reuse. Read previous blog posts on metadata management best practices and metadata management frameworks to see how metadata management can impact your organization’s data strategy to drive value from data.

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What Is Data Loss Prevention (DLP)? Definition & Best Practices

eSecurity Planet

DLP detects suspicious activity in real time by continuously monitoring data consumption and access, allowing for proactive risk reduction while also boosting network security posture and data governance procedures within businesses. Definition & Best Practices appeared first on eSecurity Planet. You can unsubscribe at any time.

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Data Governance for Smart Data Distancing

erwin

During this coronavirus emergency, we are all being deluged by data from politicians, government agencies, news outlets, social media and websites, including valid facts but also opinions and rumors. Does the definition (description, classification, allowable range of values, etc.) Data Governance Methods for Data Distancing.

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Do I Need a Data Catalog?

erwin

These fragmented data environments make data governance a challenge since business stakeholders, data analysts and other users are unable to discover data or run queries across an entire data set. Three Types of Metadata in a Data Catalog. Technical Metadata. Operational Metadata. for analysis and integration purposes).

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