Learn data types, data quality, relational databases, SQL basics, schemas, constraints, and how data flows across systems.
Start with Data BasicsDesign efficient and scalable data models. Master conceptual, logical, and physical data modeling, normalization, denormalization, star & snowflake schemas, and analytics-ready designs.
Learn Data ModelingProcess large-scale data with speed and flexibility. Understand Spark architecture, RDDs, DataFrames, Spark SQL, performance optimization, and batch processing at scale.
Explore Apache SparkApply Spark concepts through hands-on projects. Work on real-world datasets using PySpark, build ETL pipelines, optimize jobs, and solve practical big data problems.
Practice with Spark