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AWS Glue for Handling Metadata

Analytics Vidhya

The managed service offers a simple and cost-effective method of categorizing and managing big data in an enterprise. The post AWS Glue for Handling Metadata appeared first on Analytics Vidhya. Introduction AWS Glue helps Data Engineers to prepare data for other data consumers through the Extract, Transform & Load (ETL) Process.

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Enterprises can gain an edge with Metadata Management

CIO Business Intelligence

Central to this is metadata management, a critical component for driving future success AI and ML need large amounts of accurate data for companies to get the most out of the technology. Let’s dive into what that looks like, what workarounds some IT teams use today, and why metadata management is the key to success.

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AI adoption in the enterprise 2020

O'Reilly on Data

The update sheds light on what AI adoption looks like in the enterprise— hint: deployments are shifting from prototype to production—the popularity of specific techniques and tools, the challenges experienced by adopters, and so on. The new survey, which ran for a few weeks in December 2019, generated an enthusiastic 1,388 responses.

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Metadata is Like Packaging: Seeing Beyond the Library Card Metaphor

Ontotext

way we package information has a lot to do with metadata. The somewhat conventional metaphor about metadata is the one of the library card. This metaphor has it that books are the data and library cards are the metadata helping us find what we need, want to know more about or even what we don’t know we were looking for.

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RDF-Star: Metadata Complexity Simplified

Ontotext

This is a graph of millions of edges and vertices – in enterprise data management terms it is a giant piece of master/reference data. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter. open-world vs. closed-world assumptions).

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Enterprise Architecture Tools and the Changing Role of the Enterprise Architect

erwin

Enterprise architecture tools are becoming more important than ever. The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”.

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Integrating Data Governance and Enterprise Architecture

erwin

Why should you integrate data governance (DG) and enterprise architecture (EA)? Two of the biggest challenges in creating a successful enterprise architecture initiative are: collecting accurate information on application ecosystems and maintaining the information as application ecosystems change. It’s time to think about EA beyond IT.