Description

Introduction

This training provides a deep dive into modern data management principles and platform architecture, focusing on standards, data quality enhancement, migration strategies, and inter-service communication. It also offers an overview of the Vision Platform architecture, enabling participants to understand how these elements integrate to deliver robust and scalable data solutions.

Prerequisites

Participants should have:

• Basic knowledge of data management concepts

• Familiarity with software architecture principles

• Understanding of service-oriented and microservices architectures (helpful but not mandatory)

Table of Contents

1. Introduction to Data Management & Platform Architecture
    1.1 Importance of Data in Modern Enterprises
    1.2 Key Architectural Principles
    1.3 Overview of Platform Ecosystems

2. BIAN Standards
    2.1 What is BIAN?
    2.2 BIAN Service Landscape and Domains
    2.3 Benefits of Adopting BIAN Standards
    2.4 Implementation Considerations

3. Data Enrichment
    3.1 Definition and Purpose of Data Enrichment
    3.2 Techniques and Tools for Data Enrichment
    3.3 Impact on Data Quality and Business Intelligence
    3.4 Use Cases and Best Practices

4. Data Migrations
    4.1 Overview of Data Migration Processes
    4.2 Planning and Strategy for Successful Migration
    4.3 Tools and Techniques for Data Migration
    4.4 Risk Management and Validation

5. Inter-Service Communication & Messaging
    5.1 Communication Patterns in Distributed Systems
    5.2 Synchronous vs Asynchronous Messaging
    5.3 Messaging Protocols and Technologies (e.g., REST, MQ, Kafka)
    5.4 Ensuring Reliability and Scalability

6. Vision Platform as a Whole
    6.1 Architecture Overview of the Vision Platform
    6.2 Core Components and Their Roles
    6.3 Integration with Data Management Practices
    6.4 Future Roadmap and Enhancements

7. Conclusion and Wrap-Up
    7.1 Summary of Key Concepts
    7.2 Best Practices for Data and Platform Architecture
    7.3 Q&A and Additional Learning Resources

Understanding data management alongside platform architecture is crucial for building scalable, efficient, and compliant systems. This training equips participants with the knowledge to apply BIAN standards, enhance data quality, manage migrations effectively, and design robust inter-service communication—all within the context of the Vision Platform.