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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

The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Agile Data. Another podcast we think is worth a listen is Agile Data.

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

erwin

Data modeling is a serious scientific method with many rules and best practices. One must also capture the vast quantity of metadata around the OLTP business requirements that must be reflected. However, it offers two extremely valuable business benefits: reducing data redundancy and improving data integrity.

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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. Nine Steps to Data Modeling.

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Announcing erwin Data Modeler 12.5 with the new ER360 collaboration portal

erwin

Intro erwin ® Data Modeler 12.5 is now available and provides new collaboration capabilities, integration with the Databricks Unity Catalog and more! Maintain and apply data model quality scores to increase the quality of data sources being designed, deployed and maintained within erwin data models.

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What Is Embedded Analytics?

Jet Global

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.