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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. For all these data operations to flow smoothly, data needs to be interoperable, of good quality and easy to integrate. published as a special topic article in AI magazine, Volume 43, Issue 1 , Spring 2022.

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Enhance monitoring and debugging for AWS Glue jobs using new job observability metrics, Part 3: Visualization and trend analysis using Amazon QuickSight

AWS Big Data

QuickSight makes it straightforward for business users to visualize data in interactive dashboards and reports. You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. Select Publish new dashboard as , and enter GlueObservabilityDashboard.

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At Center Stage IV: Ontotext Webinars About How GraphDB Levels the Field Between RDF and Property Graphs

Ontotext

As we’ve said again and again, we believe that knowledge graphs are the next generation tool for helping businesses make critical decisions, based on harmonized knowledge models and data derived from siloed source systems. But these tasks are only part of the story.

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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

With this new instance family, OpenSearch Service uses OpenSearch innovation and AWS technologies to reimagine how data is indexed and stored in the cloud. Today, customers widely use OpenSearch Service for operational analytics because of its ability to ingest high volumes of data while also providing rich and interactive analytics.

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You Cannot Get to the Moon on a Bike!

Ontotext

And each of these gains requires data integration across business lines and divisions. Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. We call this the Bad Data Tax.

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Agile Manifesto get published.

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Benchmark Results Position GraphDB As the Most Versatile Graph Database Engine

Ontotext

The engines must facilitate the advanced data integration and metadata data management scenarios where an EKG is used for data fabrics or otherwise serves as a data hub between diverse data and content management systems. This era is over! billion edges.