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near-real-time

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End-to-end Bitcoin analytics and ML pipeline on AWS. Ingests BTC/USD OHLCV (1m) to S3, converts to partitioned Parquet for Athena, validates data, trains a Random Forest volatility model with SageMaker, and serves predictions via a managed endpoint. Dashboards in QuickSight.

  • Updated Oct 28, 2025
  • Python

This repository comprises the design, implementation, and analysis of a near real-time data warehouse prototype for an electronics business chain, utilising a multi-threaded Extract, Transform, Load (ETL) pipeline leveraging the efficient HYBRIDJOIN algorithm implemented with Java and MySQL on customer sales data.

  • Updated Mar 1, 2024
  • Java

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