Data Platform & Analytics Architecture

Comprehensive course on modern Data Platform architecture from Data Lakehouse to Data Mesh. Includes ETL/ELT Pipeline with Airflow & dbt, Stream Processing with Kafka & Flink, Data Governance & Cataloging, Data Quality Framework, Semantic Layer, and Real-time Analytics. Design an enterprise-grade data platform serving BI, ML, and data-driven decisions. Case studies: Uber, Netflix, Airbnb. Updated 2026.

Part 1: Data Platform Foundations

Lesson 1: Overview of Data Platform - Evolution & Architecture Patterns90 min Lesson 2: Data Lakehouse Architecture - Iceberg, Delta Lake & Hudi120 min Lesson 3: Data Mesh - Domain-Oriented Data Architecture120 min

Part 2: Data Ingestion & Pipeline

Lesson 4: Batch Processing - ETL/ELT with Airflow & dbt120 min Lesson 5: Stream Processing - Kafka, Flink & Real-time Pipeline120 min Lesson 6: Change Data Capture (CDC) - Debezium & Event Sourcing120 min Lesson 7: Data Integration & API Ingestion90 min

Part 3: Data Storage & Modeling

Lesson 8: Data Modeling - Dimensional Modeling & Activity Schema120 min Lesson 9: Storage Layer - Object Storage, Columnar Formats & Partitioning90 min Lesson 10: Query Engines - Trino, DuckDB & Materialized Views90 min

Part 4: Data Quality & Governance

Lesson 11: Data Quality Framework - Testing, Monitoring & Alerting120 min Lesson 12: Data Catalog & Discovery - Metadata Management90 min Lesson 13: Data Governance & Access Control120 min Lesson 14: Data Contracts & Schema Evolution90 min

Part 5: Analytics & Semantic Layer

Lesson 15: Semantic Layer - Store Metrics & Business Logic120 min Lesson 16: BI & Visualization - Dashboard Architecture90 min Lesson 17: Real-time Analytics - ClickHouse & Streaming Dashboards120 min

Part 6: ML & Data Platform

Lesson 18: Feature Store - Feature Engineering at Scale120 min Lesson 19: ML Pipeline Integration - Training & Serving Data90 min Lesson 20: Reverse ETL & Operational Analytics90 min

Part 7: Production & Case Studies

Lesson 21: Infrastructure & Cost Optimization120 min Lesson 22: Data Platform Security & Privacy90 min Lesson 23: DataOps & Platform Engineering90 min Lesson 24: Observability for Data Platform90 min Lesson 25: Case Studies - Uber, Netflix, Airbnb & Spotify120 min