According to a new press release, “KNIME today unveiled a groundbreaking approach — Integrated Deployment — to eliminate the gap between the creation of data science models and their use in production. Integrated Deployment allows not just a model but all of its associated preparation and post-process steps to be identified and automatically reused in […]
Data Architect vs. Data Modeler vs. Data Engineer
Michael Bowers, author and Chief Data Architect at FairCom Corporation, initially set out to research three careers in his presentation titled Data Architect vs. Data Modeler vs. Data Engineer for the DATAVERSITY® Data Architecture Online 2019 Conference. The process brought him to a wealth of information he would have appreciated much earlier in his career, […]
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 […]
Data Architects, It’s Time to Improve Your Data Classification
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 […]
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 […]
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 Management vs. Business Intelligence
What is a company to do when Business Intelligence (BI), designed to leverage data as an asset, costs too much time and money due to failures in traditional Data Management processes, such as the prepping and cleaning of data? Should a business analyst, wanting to produce ad-hoc reports, have to be tech-savvy or wait for […]
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 […]
Metadata Management Drives the Future of Data Management
Metadata Management makes a huge difference in finding critical data and helps enterprises not get lost within millions (or billions) of records. Metadata provides context about data, describing the information inside a data set, like a candy wrapper detailing the ingredients of the sweet stuff it encloses. This kind of data about data drives a […]