Snap4City Course 2023 Part6a, smart city, architecture, deploy, kubernetes, container, digital twin

Training Course Snap4City - 2023 Edition

Snap4City provides real-time and offline solutions to support decision makers in cities to their daily operational actions on Digital Twin, grounded on ethical and explainable artificial intelligent, XAI/AI, solutions, deductions and assessments. It provides a complete understanding of the city conditions, producing early warning, providing suggestions, enabling simulations and plans as what-if analysis.

Part 1:
Needs of the Operators vs platform
Platform Overview: from data to interactive tools
Data Analytics, Artificial Intelligence
Some Cases by Domains: solutions vs analytics
Other Cases and scenarios
Overview of the next parts of the Course

Part2:
Recall on Snap4City Architecture
Dashboards Purposes and Uses
Main Data Kinds: data vs representations
Dashboards Main Concepts and simple Widgets
Creating a Snap4City Dashboard, wizard
Multi Data Map Widget
High Level Types, video, external services, synoptics
Selector for the Multi Data Map Widget
Data Inspector vs Data Processes Details
Dashboard Management

Part 3:
Recall on Snap4City Architecture
Node-RED
IOT App = Node-RED + Snap4City
IoT App === Proc.Logic
Examples of IOT App for Smartening Solutions
Exploiting/Generating data by using: IoT App/Proc.Logic
External Service - IoT App/Proc.Logic
Dashboards - IoT App/Proc.Logic
Server Side Business Logic

part 4:
Why and Where use DA, AI and XAI -- General Life Cycle
Data Processing
What is Data Analytics, DA and Artificial Intelligence, AI
List of the most relevant available DA and AI Solutions
Predictions and Anomaly detections
Computing: Higher Level Types Data and their representations
How AI/XAI, and Life Cycle
Using DA, AI, XAI in Snap4City infrastructure
Data Analytics - IoT App / Proc.Logic
Decision Support Systems and What-If Analysis
Routing, Multimodal Routing, Dynamic Routing
Business Intelligence and Visual Analytics

part 5:
When Solutions and tools for Data Ingestion and Interoperability are needed
Overview of Snap4City Data Storage and Stack
Knowledge Base: Modelling and Setting Up
High Level Types vs Ingestion Process
Data Ingestion Strategy and Orientation
Ingestion of Points of Interest with POI Loader
Models vs Devices/Entities and Registration
Verification of Data Ingestion
Digital Twin Data Inspector vs Data Processes Details
My Data Dashboard Dev to assess data on Open Search Storage
An Integrated Example for Time Series
Entities Ingestion with Data Table Loader
High Performance Ingestion via Python
FIWARE Smart Data Models on Snap4City
Ingestion of MyKPI with Proc.Logic / IoT App

part 6:
Snap4City Architecture
Interoperability of Snap4City Platform
Interoperability with respect to Hardware staff
Adding Features and Modules to Snap4City
FIWARE and Snap4City
Snap4City vs State of the Art Solutions
Smart City planning with Snap4City Team Support
The Role of the Living Lab Support
Snap4City Platform: Administration Overview
Snap4Tech: Smart Solutions as a Service
Deploy Snap4Tech solutions: Docker Based

part 7:
Smart City API: Internal and External
Concepts and tools for using Knowlege Base, ServiceMap, API
Federated Knowledge Bases and Smart City APIs
Advanced Smart City API
Access to Protected data
Forging and managing: Mobile and Web Apps, MicroApplications
Web and Mobile App Development Kit

part 8:
Developing in the smart city IoT/WoT context
Smart Solutions Development Life Cycle
Analysis for Innovation (Co-Creation and Co-Working)
Design: Data, Data Models, Data Relationships
Design & Develop: Data Processes Proc.Logic / IoT App
Design & Develop of Data Analytics
Design & Develop: user interfaces, visual tools
Visual Analytic vs Data Analytics: Client Side Business Logic Intelligence
Design and Control of Smart Applications
What is missing here and you can get from former course