Free Live Data Education Webinars

Data Ed Online is the the longest running (10 years and counting) live webinar dedicated to data management topics

At least it is free?  Seriously we have been doing this since 2012 and are ever perfecting the format

Data Ed Online is my monthly data management webinar that focuses on how to unlock business value through foundational data management practices and techniques

All webinars consist of a 60-minute presentation, followed by a 30-minute interactive Q&A session - come join us!

Produced in conjunction with our long time partners at Dataversity who have the finest collection of data management educational resources on the web.

Yes - all registrants will recieve a link to the recording a couple of days after each event

Dataversity sends a link to the slides within two business days after the webinar.  You are always welcome to repurpose my slides with attribution! Many of them originated with you!  Please let me know if you want the original source files?


Data Architecture and Data Modeling Differences: 
Achieving a common understanding

11 May 2021 19:00 UTC (2:pm NYC)

Many can be confused when it comes to data topics. Architecture, models, data–it can seem a bit overwhelming. This program offers a clear explanation of data modeling and of data architecture with a focus on the power of their interdependence. Both data architecture and data models are made more useful by each other. Data models are a primary means to achieve shared understanding of specific data challenges. They are literally the pages that intersect data assets and the organizational response. Data models, as documentation, are the currency of data coordination, used to verify integration, and are mandated input to any data systems evolution. Ideally, data architecture is the sum of the organizational data models, however, coverage is rarely complete. Anytime you are talking architecture, it is important to include the complimentary role of engineered data models. Developing these models often incorporates both forward and reverse perspectives. Only when working in a coordinated manner can organizations takes steps to better understand what they have and what they need to accomplish by employing data modeling and data architecture. This program's learning objectives include:
–  Understanding the role played by models
–  Incorporating the interrelated concepts of
–  What is taught: forward engineering with a goal of
–  What is also needed: reverse engineering with a goal of
–  How increasing coordination requirements increase
    design simplicity

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