Modern software development involves collaboration between different roles including developers and data experts. Agile methodologies like Scrum are increasingly used in projects instead of traditional waterfall approaches. For data-focused projects to be successful, specialists like data architects and database administrators must be intimately involved in development as developers do not have the expertise to handle many data-related challenges alone. The right tools are also critical to enabling effective collaboration between team members.

1. @dez_blanchfield
Modern Agile Data Design
IT WASN’T SO LONG AGO OUR DEV & DATA EXPERTS WORKED ALONE
APP DEV, DATA DESIGN, MODELING & MGMT IS NOW A TEAM SPORT

2. @dez_blanchfield
That 1986 article in Harvard
Business Review titled
”Moving the Scrum Downfield"

3. @dez_blanchfield
A NEW GAME IN PROJECT DELIVERY

4. @dez_blanchfield
“Organizations are adopting Scrum project methodology over
PRINCE2 or PMBOK, were Waterfalls are replaced with Sprints.”
Key Tenets of Scrum:
Built-in instability
Self-organizing project teams
Overlapping development phases
Multi-learning & Subtle control
Organizational transfer of learning
Time-boxed outcomes
The new “game” in project delivery:
Product Owners & Stories
Developers & Standups
Scrum Masters
SCRUM MOVES OFF THE RUGBY FIELD

5. @dez_blanchfield
THE SCRUM WORKFLOW AT A GLANCE

6. @dez_blanchfield
When we think of Agile
we usually think of
Developers, not Databases

7. @dez_blanchfield
“The term Agile is often wrongly associated exclusively with
software developers, not database designers or architects.”
Actors in a Data cast:
Data architects
Data modelers
Database administrators
Database managers
Business analysts
Systems analysts
Systems architects
AGILE ISN’T LIMITED TO DEVELOPERS

8. @dez_blanchfield
Data specialists MUST now be
intimately involved in every
development project

9. @dez_blanchfield
“Working with Data & Databases requires specialized data
skills and experience, not usually native to software
developers.”
Common Data Related Development Challenges:
Create & manage database designs
Document & reuse data assets
Schema design & generation
Data modeling & Data models
Forward and reverse engineering
Database code generation
Integration of models & metadata
Data Access control, Security & Integrity
Multiple database platforms
DEVELOPERS AREN’T DATA EXPERTS

10. @dez_blanchfield
To make any of this Data Nirvana
possible, it’s critical to have the
right “team” enabled “tools”