Data Engineering Session : 7

🚀 In this session, we covered the complete Data Engineering workflow and understood how data moves across different layers in real-world systems.

📌 Topics Covered:
• Data Sources & Source Systems
• Data Ingestion & Extraction
• Storage Layer (Data Lake vs Data Warehouse)
• Data Processing & Transformations
• Serving Layer for ML, AI & Analytics Teams
• Monitoring & Optimization
• Query Optimization & Cost Reduction
• Real-world Data Engineering Architecture
• Delta Lake & Lakehouse Concepts
• Structured vs Semi-Structured vs Unstructured Data
• HDFS, AWS S3, ADLS, GCS Overview
• ACID Properties & Delta Format Explained

💡 Also discussed:
✔ Why Big Data matters
✔ How optimization saves huge infrastructure costs
✔ Real industry examples from production environments
✔ How Data Engineers support business reporting & analytics

This session is perfect for beginners and aspiring Data Engineers who want practical industry-level understanding of modern data platforms.

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