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The History of Time in Data Models

Click to learn more about author Thomas Frisendal. In my last blogpost Timely Concerns in Data Models, we looked at the basic challenges of dealing with time dependencies in Data Modeling. I promised to continue this quest by going over the history of these issues. How well have we actually solved these challenges? So, hop […]

DataEd Slides: Data Modeling is Fundamental

DataEd Slides: Data Modeling is Fundamental from DATAVERSITY To view the On Demand recording of this presentation, click HERE>> About the Webinar Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, […]

DataEd Webinar: Data Modeling is Fundamental

To view just the slides from this presentation, click HERE>> About the Webinar Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with […]

IDERA Slides: Lean Data Modeling for any Methodology

Lean Modeling for Any Methodology from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> Original Air Date: June 18, 2019 This Webinar Sponsored by: About the Webinar With changes in software development methodologies, the role of the data modeler has changed significantly. In many organizations, data modelers now find themselves […]

IDERA Webinar: Lean Data Modeling for any Methodology

To view just the slides from this presentation, click HERE>> Original Air Date: June 18, 2019 This Webinar Sponsored by: About the Webinar With changes in software development methodologies, the role of the data modeler has changed significantly. In many organizations, data modelers now find themselves on the outside looking in, relegated to documentation “after […]

Data Modeling in the Machine Learning Era

Machine learning (ML) is empowering average business users with superior, automated tools to apply their domain knowledge to predictive analytics or customer profiling. The article What is Automated Machine Learning (AutoML)? discusses a prediction that by 2020, augmented analytics capabilities will play a key role and be a “dominant driver” in the growth (and purchase) […]

Timely Concerns in Data Models

Click to learn more about author Thomas Frisendal. The Component Parts of Data Models Back in March 2019 I published a post here on DATAVERSITY® titled The Atoms and Molecules of Data Models. The objective was to scope ”a universal set of constituents in data models across the board”. I used this classic data model, […]

Sigma Announces Visual Data Modeling, SQL Runner and One-click Snowflake Integration

According to a recent press release, “Today at the inaugural Snowflake Summit in San Francisco, Sigma, an innovator in cloud business intelligence (BI) and analytics, announced its forthcoming release of a visual data modeling capability, SQL Runner, and one-click Snowflake integration, allowing anyone to explore data in cloud warehouses and generate insights in minutes. Sigma’s […]

Data Models That Build Themselves

Click to learn more about author Mike Brody. Self-service Business Intelligence (BI) is about bridging the knowledge gap that has historically separated business professionals from their data. It’s about doing away with intimate knowledge of information systems as a prerequisite for finding out last quarter’s growth margin. And when it comes to replacing SQL statements with […]

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