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How A Data Catalog Enhances Data Risk Management

Alation

But data leaders must work quickly, and use the right tools, to understand, manage, and protect data while complying with related regulations and standards. Download the complete white paper now. The Increasing Focus On Data Risk Management. That defining data is called metadata , which is data that describes data.

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Using Strategic Data Governance to Manage GDPR/CCPA Complexity

erwin

Modern, strategic data governance , which involves both IT and the business, enables organizations to plan and document how they will discover and understand their data within context, track its physical existence and lineage, and maximize its security, quality and value. Five Steps to GDPR/CCPA Compliance. How erwin Can Help.

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Knowledge Graphs vs. Property Graphs – Part II

TDAN

Differences in Terminology and Capability Building on the terms and concepts introduced in Part I of this white paper, Part II digs deeper into the difference in the meaning of some key terms used in both Property Graphs and Knowledge Graphs, including LABELS, TYPES, and PROPERTIES.

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Insights from Gartner Data & Analytics Summit Orlando 2023

Alation

Ehtisham Zaidi, Gartner’s VP of data management, and Robert Thanaraj, Gartner’s director of data management, gave an update on the fabric versus mesh debate in light of what they call the “active metadata era” we’re currently in. The foundations of successful data governance The state of data governance was also top of mind.

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Data Governance 2.0: The CIO’s Guide to Collaborative Data Governance

erwin

As a foundational component of enterprise data management, DG would reside in such a group. Enterprise Data Management Methodology : DG is foundational to enterprise data management. metadata management, enterprise data architecture, data quality management), DG will be a struggle.

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What Is a Data Fabric and How Does a Data Catalog Support It?

Alation

As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail.

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What Is Embedded Analytics?

Jet Global

Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. addresses). Educate your prospects.