Remove metadata-management-market-guide
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What is Active Metadata & Why it Matters: Key Insights from Gartner’s Market Guide

Alation

Analysis, however, requires enterprises to find and collect metadata. In fact, Gartner’s “Market Guide for Active Metadata Management” points to “ active metadata management ” as the key to continuous data analysis – which supports smarter human usage and more valuable insights.

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How Fujitsu implemented a global data mesh architecture and democratized data

AWS Big Data

To provide a variety of products, services, and solutions that are better suited to customers and society in each region, we have built business processes and systems that are optimized for each region and its market. This situation makes it difficult for management to grasp business trends and make decisions in a timely manner.

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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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Unlock data across organizational boundaries using Amazon DataZone – now generally available 

AWS Big Data

Common pain points of data management and governance: Discovery of data , especially data distributed across accounts and regions – Finding the data to use for analysis is challenging because organizations often have petabytes of data spread across tens or even thousands of data sources.

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Can LLMs Become Knowledgeable – Impressions from Day 1 At SEMANTiCS 2023

Ontotext

Having walked the path of three KG constructions while working at Google, Amazon, and currently Meta, Luna guided us through the implementation of her research philosophy. Krasimira showcased how knowledge graphs, combined with semantic metadata , enhance LLMs for better content discovery, understanding, and question-answering.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

1) What Is Data Quality Management? quintillion bytes of data being produced on a daily basis and the wide range of online data analysis tools in the market, the use of data and analytics has never been more accessible. Enters data quality management. What Is Data Quality Management (DQM)? Table of Contents.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Friction occurs when there is resistance to change or to success somewhere in the project lifecycle or management chain. FUD occurs when there is too much hype and “management speak” in the discussions. Conduct market research. encouraging and rewarding) a culture of experimentation across the organization.

Strategy 289