Data Science · Level 4

Big Data Engineering & MLOps

By SRTR Academy Faculty

4 modules · 17 lessons · 9 videos · 28 hrs

Apache Spark, data pipelines, ETL, data warehousing, model deployment (Docker, Kubernetes), monitoring

What you will learn

Module 1: Big Data Foundations
- 🎬 Distributed computing concepts — free preview
- 📄 Hadoop ecosystem overview
- 🎬 Apache Spark architecture and RDDs
- 📄 Spark DataFrames and SQL
Module 2: Data Pipeline Engineering
- 🎬 ETL vs ELT patterns — free preview
- 📄 Apache Airflow for orchestration
- 🎬 Stream processing with Kafka + Spark
- 📄 Data quality checks and monitoring
Module 3: Data Warehousing & Lakes
- 🎬 Data warehouse design (star/snowflake schema) — free preview
- 📄 Cloud data warehouses (BigQuery, Redshift, Snowflake)
- 🎬 Data lake architecture and Delta Lake
- 📄 Building a modern data stack
Module 4: MLOps & Model Deployment
- 🎬 ML model packaging and containerization — free preview
- 📄 Model serving with FastAPI and Docker
- 🎬 Kubernetes for ML workloads
- 📄 Monitoring model drift and performance
- 🎬 CI/CD for data and ML pipelines