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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 […].

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Machine Learning Metadata Store


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

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Data Speaks for Itself: Is Metadata Data?


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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How Metadata Improves Security, Quality, and Transparency


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.

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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 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 and Data Governance with Cloudera SDX


This will allow a data office to implement access policies over metadata management assets like tags or classifications, business glossaries, and data catalog entities, laying the foundation for comprehensive data access control. First, a set of initial metadata objects are created by the data steward.

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Best Practices for Metadata Management


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.