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AWS Glue for Handling Metadata

Analytics Vidhya

The post AWS Glue for Handling Metadata appeared first on Analytics Vidhya. The managed service offers a simple and cost-effective method of categorizing and managing big data in an enterprise. It provides organizations with […].

Metadata 360
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Machine Learning Metadata Store

KDnuggets

In this article, we will learn about metadata stores, the need for them, their components, and metadata store management.

Metadata 156
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How Metadata Improves Security, Quality, and Transparency

KDnuggets

Metadata is the data providing context about the data, more than what you see in the rows and columns. By managing your metadata, you're effectively creating an encyclopedia of your data assets.

Metadata 149
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Data Speaks for Itself: Is Metadata Data?

TDAN

Well, of course, metadata is data. Our standard definition explicitly says that metadata is data describing other data. The reason I ask it is because we seem to think about and manage metadata as somehow different than “normal data” such as business operations […]

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Why Modern Data Challenges Require a New Approach to Governance

By capturing metadata and documentation in the flow of normal work, the data.world Data Catalog fuels reproducibility and reuse, enabling inclusivity, crowdsourcing, exploration, access, iterative workflow, and peer review. It adapts the deeply proven best practices of Agile and Open software development to data and analytics.

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Metadata Management Best Practices: How to Plan Your Metadata Management Program

Octopai

Metadata has been defined as the who, what, where, when, why, and how of data. Without the context given by metadata, data is just a bunch of numbers and letters. But going on a rampage to define, categorize, and otherwise metadata-ize your data doesn’t necessarily give you the key to the value in your data. Hold on tight!

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Best Practices for Metadata Management

Alation

What Is Metadata? Metadata is information about data. A clothing catalog or dictionary are both examples of metadata repositories. Indeed, a popular online catalog, like Amazon, offers rich metadata around products to guide shoppers: ratings, reviews, and product details are all examples of metadata.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Leveraging metadata (labels, annotations) for deep dimensional analysis. In this webinar, you will learn about: Blending various high quality third-party datasets with internal data. Extending analysis-ready data to all of your business stakeholders at scale.