Remove Data Lake Remove Data Warehouse Remove Metadata Remove Risk Management
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Manage your data warehouse cost allocations with Amazon Redshift Serverless tagging

AWS Big Data

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Tags allows you to assign metadata to your AWS resources. You can define your own key and value for your resource tag, so that you can easily manage and filter your resources.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. Capture and document model metadata for report generation.

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Data Governance Makes Data Security Less Scary

erwin

While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, introducing governance, manageability and risk issues that must be managed.

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How Data Governance Protects Sensitive Data

erwin

While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, management and governance issues that must be addressed. When an organization knows what data it has, it can define that data’s business purpose.

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Integrating Data Governance and Enterprise Architecture

erwin

To better understand and align data governance and enterprise architecture, let’s look at data at rest and data in motion and why they both have to be documented. Documenting data at rest involves looking at where data is stored, such as in databases, data lakes , data warehouses and flat files.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. in lieu of simply landing in a data lake.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Governance.