Data Collection, Storage & Architecture

Objective

Learn how organizations capture, structure, store, and integrate data effectively.

Topics Covered

  1. Data Collection Methods
    • Forms, applications, APIs, and automated data capture
  2. Databases & Data Storage Concepts
    • Relational vs non-relational databases
  3. Data Architecture Fundamentals
    • Data warehouses, data lakes, and enterprise data environments
  4. Data Integration & ETL Processes
    • Extract, Transform, and Load methodologies
  5. Data Security & Privacy Fundamentals
    • Protecting sensitive and organizational data
  6. Backup, Recovery & Data Availability
    • Ensuring continuity and resilience

Activity

Design a simple organizational data architecture and storage workflow.

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