Delve into our enchanted DBMS repo, where data tales come to life. From architecture sagas to indexing quests, embark on a knowledge odyssey like no other. Discover the art of normalization magic and wield the power of efficient data spells. Join our fellowship of coding adventurers, and together, we'll rewrite the future of database sorcery!

PySpark ETL & analytics pipeline for taxi trip ETA, partitioned Parquet, windowed aggregations and performance patterns.

This Repository Keeps in depth and Practical Understandings of Apache Kafka (Working/Architecture/Scalability) and their various use-cases while implementing and understandings with real time use-case scenario

🚖 Ingest and analyze NYC yellow taxi data with a streamlined ETL pipeline, featuring data cleaning, analytics, and business-ready outputs.