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 Governance and Data Architecture: There is No Silver Bullet
In terms of a market perspective, Data Governance has increased in visibility partly because of the increase in security breaches, data security issues, and compliance requirements for various industry regulations. To secure and manage data properly, it helps to manage it at a higher level and know which of your data is sensitive in the […]
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 […]
Press Release: Agenda Announced for the 2019 Data Architecture Summit
April 24, 2019– DATAVERSITY Education, LLC announced the agenda today for the third annual Data Architecture Summit (DAS), which will be held October 14-17, 2019, at the Westin Chicago River North in Chicago, Ill. For more details about the speakers, sessions, venue, and registration options, visit dataarchitecturesummit.com. The four-day event will feature a broad range of […]
IDERA Slides: Strategic Imperative – The Enterprise Data Model
Strategic imperative the enterprise data model from DATAVERSITY To view Just the On Demand recording for this presentation, click HERE>> Original Air Date: April 16, 2019 This Webinar Sponsored by: About the Webinar With today’s increasingly complex data ecosystems, the Enterprise Data Model (EDM) is a strategic imperative that every organization should adopt. An Enterprise […]
IDERA Webinar: Strategic Imperative – The Enterprise Data Model
Original Air Date: April 16, 2019 This Webinar Sponsored by: To view Just the slides for this presentation, click HERE>> About the Webinar With today’s increasingly complex data ecosystems, the Enterprise Data Model (EDM) is a strategic imperative that every organization should adopt. An Enterprise Data Model provides context and consistency for all organizational […]
Modeling Sets of Data
Click to learn more about author Thomas Frisendal. Remember? People of my age were taught set algebra at high-school (in my case in the late seventies). Today it is elementary school stuff. And it is indeed a useful tool with applications in many real-life situations. Why did Set Algebra not Become More Popular? In retrospect, […]