Data Modelling SIG Webinar: Data Modeller Challenges

DAMA (Data Management Association) Internationalis a not-for-profit, vendor independent association of technical and business professionals dedicated to advancing the concepts and practices for data resource management and enterprise information. The primary purpose of DAMA is to promote the understanding, development, and practice of managing data to support business strategies.  DAMA has chapters and members throughout the world.DAMA has been in operation for over 20 years in Australia and there are active DAMA chapters in Sydney, Melbourne, Perth, Parramatta, Canberra and Brisbane. DAMA runs meetings, seminars and workshops on data related topics. It provides a forum for information management practitioners to network and exchange information and experiences.DAMA meetings are funded through membership fees. For more information about membership of DAMA Australia can be found on theDAMA Australia website.

DAMA Australia

<H2>DAMA Data Modelling Special Interest Group Webinar</H2>
The webinar will commence at 13:00 pm AEDT and finish sharply at 14:00 pm AEDT.
13:00 - 14:00 Canberra, Sydney & Melbourne
12:00 - 13:00 Brisbane
12:30 - 13:30 Adelaide
10:00 - 11:00 Perth
<H2>Abstract</H2>
Every year at Data Modeling Zone (DMZ), I reflect on my assignments since the last DMZ, and share patterns observed that might influence our work in the years to come. 
Many of the observations shared at prior DMZ events have proven to influence our work such as our stronger relationship with the data scientist and the increased role of NoSQL within our organizations. 
This past year at DMZ US, I raised three challenges facing the data modeler, and that evening over 100 data modelers tackled these challenges as part of our annual Data Modeling Hackathon. 
On this webinar, we will discuss the three challenges followed by the results of the Hackathon.
<H2>About the Speaker:</H2>
Steve Hoberman has trained more than 10,000 people in data modeling since 1992. Steve is known for his entertaining and interactive teaching style (watch out for flying candy!), and organizations around the globe have brought Steve in to teach his Data Modeling Master Class, which is recognized as the most comprehensive data modeling course in the industry.
Steve is the author of nine books on data modeling, including the bestseller Data Modeling Made Simple and most recent book Blockchainopoly: How Blockchain Changes the Rules of the Game. One of Steve’s frequent data modeling consulting assignments is to review data models using his Data Model Scorecard® technique.
He is the founder of the Design Challenges group, Conference Chair of the Data Modeling Zone conferences, and recipient of the Data Administration Management Association (DAMA) International Professional Achievement Award.
For more information on Steve, please see <A HREF="http://stevehoberman.com/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">stevehoberman.com</A>.
<H2>About the Data Modeling SIG:</H2>
Join the Data Modelling Special Interest Group to keep your skills relevant.
The Data Modelling Special Interest Group (SIG) provides a forum for DAMA members to stay up-to-date with changes in data modelling. As a SIG member, you will be exposed to new ideas, schemes, applications and services.
You will also nurture and build data modelling capability in our community, ensuring this vital function continues to support our organisation’s business needs for data.
To join the Data Modelling SIG email data.modelling@dama.org.au.
<H2> erwin, Inc - supporting the data modelling SIG</H2>
erwin, Inc. provides the only unified software platform combining data governance, enterprise architecture, business process and data modelling. Delivered as a SaaS solution, these technologies work together to unlock data as a strategic asset so all enterprise stakeholders can discover, understand, govern and socialise data to mitigate risk, improve organisational performance and accelerate growth.

Data Modelling SIG Webinar: Data Modeller Challenges

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Data Modelling SIG Webinar: Data Modeller Challenges

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