Team Data — data architects in particular, whatever their official title may be — have a job to do. That is to take more aggressive steps to protect data assets on behalf of customers and constituents. The responsibility falls to data architects because few in most organizations are thinking about protecting data from the data […]
So You Want to be a Data Architect?
Being a data architect requires a good understanding of the cloud, databases in general, and the applications and programs used to maximize their potential. A fully functional data architect understands all the phases of Data Modeling, including conceptualization and database optimization. They also understand a continuing education is part of the job. Typically, a data […]
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, […]
erwin Unveils New Version of Flagship Data Modeling Solution
According to a new press release, “erwin, the data governance company, today released a new version of erwin Data Modeler (erwin DM), the world’s No. 1 data modeling software for designing, deploying and understanding data sources to meet modern business needs. This is the first in a series of new products the company will announce […]
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 […]
Semantic Web and Semantic Technology Trends in 2020
One way or another, it’s all about graphs. And machine learning. And AI. And what their connections to each other are. Welcome to the world of semantic technology in 2020. The year ahead largely picks up the pace on what industry experts predicted would happen in 2019. Graph technologies have finally become mainstream, says Andreas […]