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

Ontotext

This post continues our series in which we want to provide an overview of what we do and how our webinars fit into it. In the previous post, we talked about data virtualization and how Ontotext’s RDF database for knowledge graphs GraphDB provides the tools for the full journey from graphs to relational tables and back.

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Top 10 Data Lineage Podcasts, Blogs, and Magazines

Octopai

Another podcast we think is worth a listen is Agile Data. Throughout each episode, hosts Shane and Nigel discuss how to incorporate agile techniques when teams deliver analytics, data, and visualizations. Topics they chat about include: going serverless, data layers, and how to adapt for a “BI Lifecycle.”

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GraphDB and metaphactory Part II: An RDF Database and A Knowledge Graph Platform in Action

Ontotext

It demonstrates how GraphDB and metaphactory work together and how you can employ the platform’s intuitive and out-of-the-box search, visualization and authoring components to empower end users to consume data from your knowledge graph. You can also listen to our on-demand webinar on the same topic or check out our use case brief.

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Data Modeling 101: OLTP data modeling, design, and normalization for the cloud

erwin

However, it offers two extremely valuable business benefits: reducing data redundancy and improving data integrity. In short, it helps to keep the data effective, a highly desirable feature of any database. It’s not very hard at all once you know the definition and have some rather simple visual examples.

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Building Best-in-Class Enterprise Analytics

Speaker: Anthony Roach, Director of Product Management at Tableau Software, and Jeremiah Morrow, Partner Solution Marketing Director at Dremio

Tableau works with Strategic Partners like Dremio to build data integrations that bring the two technologies together, creating a seamless and efficient customer experience. As a result, these two solutions come together to deliver: Lightning-fast BI and interactive analytics directly on data wherever it is stored.

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Q&A Tuesday: Jonathan Reichental on Digital Transformation and 21st-Century Excellence

Jet Global

The tools for delving deep into the data of the business, identifying patterns, and making predictions on trends are making a real impact. The central action an organization can do right now, assuming they are not already on their digital transformation journey, is to spend time and energy on visualizing an updated vision of themselves.

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How to Do Data Modeling the Right Way

erwin

And it exists across these hybrid architectures in different formats: big and unstructured and traditional structured business data may physically sit in different places. What’s desperately needed is a way to understand the relationships and interconnections between so many entities in data sets in detail.