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This project demonstrates real-world big data engineering practices using Apache Spark (PySpark). It covers the entire data pipeline — from ingestion, transformation, and validation to exploration and reporting. Ideal for data engineers and analysts looking to gain practical experience with Spark, Airflow, and data lake design.
kshi-glitch/BigDataOps_Lab
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This project demonstrates real-world big data engineering practices using Apache Spark (PySpark). It covers the entire data pipeline — from ingestion, transformation, and validation to exploration and reporting. Ideal for data engineers and analysts looking to gain practical experience with Spark, Airflow, and data lake design.
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