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Verta.ai Announces the Release of ModelDB 2.0

According to a new press release, “Verta.ai, provider of Verta Enterprise, an open-core end-to-end MLOps platform, today announced the launch of ModelDB 2.0, an industry-leading, open-source model versioning system to make machine learning (ML) development and deployment reliable, safe, and reproducible. In a field that is rapidly evolving but lacks infrastructure to operationalize and govern […]

The Psychology of Data Modeling

Click to learn more about author Thomas Frisendal. Data Modeling – For Whom? I am much concerned with the communicative aspects of a data model. Because data models are really vehicles of communication, we need to understand who our “readers” are. In the case of graph data models, developers are just a minority. Many more […]

Descartes Labs Launches First Cloud-Based Geospatial Data Refinery and Modeling Platform

According to a new press release, “Descartes Labs, a New Mexico-based geospatial analytics company, today announced the availability of the Descartes Labs Platform, the industry’s first-ever cloud-based geospatial analytics platform. It provides enterprises with a real-time geospatial data catalog and flexible modeling environment – all in one complete package. By handling nearly all geospatial modeling […]

Ten 2020 Visions for Data Modelers

Click to learn more about author Thomas Frisendal. 2020 is a nice number and sounds comforting. And it is about vision(s). Are there any foresights of importance for data modelers? Well, here are 10 suggestions. No warranties, I suggest you use them as lighthouses, hopefully plotting your course from 2020 onwards. Business Value in Data […]

Slides: Graph Data Modeling in Four Dimensions – Outline, Differences, Artisanship, Agility

Graph Data Modeling in Four Dimensions – Outline, Differences, Artisanship, Agility from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> About the Webinar Graph Data Modeling is, needless to say, good for graph databases. But it can also serve as a general conceptual/logical model. This webinar explains all aspects, starting […]

Webinar: Graph Data Modeling in Four Dimensions – Outline, Differences, Artisanship, Agility

To view just the slides from this presentation, click HERE>> About the Webinar Graph Data Modeling is, needless to say, good for graph databases. But it can also serve as a general conceptual/logical model. This webinar explains all aspects, starting with an overview, then moving into differences between Graph Data Modeling and “Classic” Data Modeling, […]

Data Modeling Trends in 2020: A Year of Optimization

This next year demands quicker data-driven decisions, better automation, more integration, and more data, requiring optimized Data Modeling. Data Modeling refers to documentation describing core business rules and definitions around data. Business and technical shareholders benefit from Data Modeling by seeing complex data concepts in an intuitive, visual way. Throughout 2020, Data Modeling will need […]

2019 DATAVERSITY Top 20

It is once again time to look back and evaluate the struggles and successes of the previous year and then build those lessons into the year to come. Part of how we do that here at DATAVERSITY is to look at the content consumed by the community over the year and evaluate what was hot […]