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What is Active Metadata & Why it Matters: Key Insights from Gartner’s Market Guide

Alation

Well, we got jetpacks, too, but we rarely interact with them during the workday. Analysis, however, requires enterprises to find and collect metadata. Active metadata management enhances typical metadata management , which is becoming “increasingly incapable” of fulfilling enterprise metadata requirements, according to Gartner.

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GraphDB in Action: Putting the Most Reliable RDF Database to Work for Better Human-machine Interaction

Ontotext

In today’s world, we increasingly interact with the environment around us through data. Motivating the use of knowledge graph technology for environmental data, the authors explain why spatial data requires special treatment. The catalog stores the asset’s metadata in RDF. Researchers used GraphDB to store semantic metadata.

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Microsoft Azure OpenAI Service and DataRobot Modernize Data Science Work with Cutting-Edge Technology Innovations

DataRobot Blog

This integration, which leverages the ChatGPT model in Azure OpenAI, provides a conversational AI experience that will allow you to interact with and interpret model results and predictions directly. This saves us the time it would otherwise take to memorize metadata and APIs. DataRobot Launch Event From Vision to Value.

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Automated Metadata Management Tools: Why Some Companies Struggle and Others Flourish During Corona

Octopai

Instead, they now must find ways to adapt to this new reality, which in many cases means adopting disruptive technologies that can help bridge the gap between working from the comfort of the office to working in the chaos of home (for those of us with kids out of school). One word for you: Cloud. Watch the Webinar.

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Why Establishing Data Context is the Key to Creating Competitive Advantage

Ontotext

Without metadata management and other data-related operations with semantic technologies, organizations often struggle to connect data sets and achieve a unified view of their enterprise data. Enter the Semantic Edge Era: How to Derive Value from Semantic Metadata The problem with Big Data is not the data itself.

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Visualize Amazon DynamoDB insights in Amazon QuickSight using the Amazon Athena DynamoDB connector and AWS Glue

AWS Big Data

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Athena is a serverless, interactive service that allows you to query data from a variety of sources in heterogeneous formats, with no provisioning effort.

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Scaling Understanding with the Help of Feedback Loops, Knowledge Graphs and NLP

Ontotext

We mainly talked about the company’s Metadata Studio and the types of features it has that give users the options I’ve listed above. Contextualization leads to sensemaking because the human or the machine finds these representations of people, places, things and ideas related and interacting together in logical, systematized ways.