Alation

MARCH 11, 2022

This white paper makes this information actionable with a methodology, so you can learn how to implement a meshy fabric with your data catalog. For the full story, download the white paper here ! Tip 2: Let the data catalog do the heavy lifting. What data is useful? But how do you get started?

Metadata 52

Metadata Data Governance ROI Data Quality 52

Octopai

DECEMBER 12, 2021

Whenever you save the file, you create metadata about the current status of this data asset: The metadata displayed here includes data asset type, size of the asset, and time of the last change in the asset. Metadata stewardship tools are important for: Data governance Regulatory compliance Evaluating and improving data quality.

Metadata 93

Metadata Management Data Quality Data Governance 93

CIO Business Intelligence

MARCH 22, 2022

Then virtualize your data to allow business users to conduct aggregated searches and analyses using the business intelligence or data analytics tools of their choice. . Set up unified data governance rules and processes. With data integration comes a requirement for centralized, unified data governance and security.

Analytics 101

Analytics Key Performance Indicator Data Warehouse Data-driven 101

Alation

JANUARY 13, 2022

But how do you identify the best data, and best practices for using it? Metadata is the key to fueling data intelligence use cases across the board, including data search & discovery and data governance. In fact, data intelligence technologies support building a data fabric and realizing a data mesh.

Data Lake 59

Data Lake Metadata Data-driven Data Governance 59

Alation

JANUARY 25, 2022

This is a key component of active data governance. These capabilities are also key for a robust data fabric. Another key nuance of a data fabric is that it captures social metadata. Social metadata captures the associations that people create with the data they produce and consume. The Power of Social Metadata.

Metadata 52

Metadata IT Metrics Data-driven 52