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Lesson 1.1: The Modern Data Ecosystem

  • Format: 12-Minute Video Lecture + Conceptual Diagram
  • Core Concept: Demystifying where company data lives. Leaders don’t need to write SQL queries, but they must understand the architecture to scope budgets and timelines.
🎥 Video Script Outline & Talking Points:
  1. The Evolution: Contrast the 1990s era of local Excel spreadsheets with today’s cloud infrastructure.
  2. The Hierarchy Explained (The Non-Technical Analogy):
    • Data Lake (The Raw Material): Unstructured, raw data pouring in from everywhere (customer chat logs, server metrics, raw sales receipts). It’s cheap to store but messy.
    • Data Warehouse (The Storage Room): Cleaned, structured, and cataloged data. This is where your customer profiles and transaction records are organized into neat tables.
    • Data Mart (The Store Shelf): A mini-warehouse curated for a specific department (e.g., just marketing data or just finance data) so teams don’t get overwhelmed.

  3. The Executive Takeaway: Why projects stall because business leaders ask for “Data Lake speed” using “Data Warehouse budgets.”
📝 Reading Assignment & Handout:
  • Title: “The Leader’s Guide to Cloud Storage Costs: Snowflake vs. BigQuery vs. Databricks.”
  • Summary: A 2-page cheat sheet explaining the pricing models of major cloud data providers so leaders can audit infrastructure bills.

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