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Seeing Like a Data Structure

Schneier on Security

We are about to find out, as we begin to see the world through the lens of data structures. Scott explored what happens when governments, or those with authority, attempt and fail to “improve the human condition.” This is what life is like when we see the world the way a data structure sees the world.

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Data governance use cases – 3 ways to implement

Collibra

However, once you have a system of record in place for your data, your organization can implement many valuable data governance use cases more easily. . In this post, we’ll highlight the top three most valuable data governance use cases. The data structure and requirements are not defined until the data is needed.

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Operation Endgame

Troy Hunt

That link provides an excellent over so start there then come back to this blog post which adds some insight into the data and explains how HIBP fits into the picture. All this is made possible by feeding the data into the law enforcement pipeline we built for the FBI and NCA a few years ago.

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The Impacts of Data Loss on Your Organization

Security Affairs

Data can be classified into; Structured Data: Structured data refers to information that is organized in a predefined format. Structured data is highly valuable for generating reports, performing statistical analysis, and gaining insights into operational efficiency.

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What is metadata management and why is it important?

Collibra

.” 2020 Trends in the Data Management, Dataversity. Organizations need metadata management in their data management practice because there is: . Increasing need for data governance, regulatory and compliance requirements and data enablement. For example, . What is a metadata management tool?

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Five benefits of a data catalog

IBM Big Data Hub

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

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Data architecture strategy for data quality

IBM Big Data Hub

How the right data architecture improves data quality. The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.