Research, 2022
Distributed ML pipeline for real-time stock prediction using big data infrastructure.
Streaming Data & ML · Fintech
End-to-end streaming architecture comparing online vs. batch learning across global equities.
Stack
KafkaHadoopSparkCassandraRiverPython
Context
Real-time stock market prediction system leveraging big data infrastructure and online learning methods across global companies (Google, Apple, BNP Paribas, Alibaba, Novartis).
Highlights
- ●Full Kafka → Hadoop → Spark → Cassandra pipeline
- ●Online learning (River) vs. batch (LSTM, autoregressive)
- ●Real-time inference on streaming market data
How Frema Labs applies this for you
Need decisions on live data? We design ingestion and online-learning pipelines that score events the moment they arrive.
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