Exploring Data Models


Details
UPDATED INFO: Agenda Established
-- 6:00 PM - Welcome, and Introductions (10 minutes)
-- 6:10 PM - Recap and Review - we will review the foundation and philosophy of the "Architect Anything!" approach to project analysis, specification, and development. This review will be as thorough as required to bring any newcomers up to speed (20 to 30 minutes)
-- 6:40 PM (approx.) - In Session "Architecting" - we will build a preliminary Physical and Data model (Data Flow Diagram) based on an already existing Autonomous Mining Material Hauler System as our Target System. Refer to this YouTube video --> https://youtu.be/x_HQMXK4hCY Using that concept as a starting point, we will reverse engineer a similar system as if we wanted to develop a competitor system. (~40 minutes)
-- 7:20 PM - discuss the "Data Model" as a key component within the discipline of System Architecture. This is an ideal part of the session for attendees to bring specific questions about projects they may be involved in, or plan to start soon. (~30 minutes)
-- 7:50 to 8:00 PM Adjourn - we are required to vacate InNEVation Center by 8 PM
END OF UPDATE
As a reminder, and in general, we will structure sessions according to the interactive and collaborative guidelines which follow:
(NOTE: newcomers are always welcome - we will make every effort to bring you up to speed!)
Starting from first principles of engineering we will learn and apply simple, but powerful methods to, model, analyze, and specify, all types of different technology projects regardless of scale. One session we might address the architecture for simple mobile app. Next time we might tackle something as grand as the SpaceX's reusable rocket recovery systems. It will be up to us, and what we want to focus on.
Every meeting will center on a whiteboard modeling session and discussion, but the subject will always a modern, relevant technology. Our mission will be to learn the tools to demystify, comprehend, and document technology.
Our sessions are intended to be collaborative, and your participation is highly encouraged and welcomed. Don't worry though - no need to be an expert in anything going in; everything we need to know will be discover-able on the internet (hint: bring your laptop!).

Exploring Data Models