Data Analytics (Advanced)

Module 1: Stream Processing

• Apache Flink (CEP, stateful computations)

• Time-series databases (InfluxDB, TimescaleDB)

Module 2: Distributed Analytics

• Dask vs. Ray for parallel Pandas workflows

• GPU-accelerated analytics (RAPIDS, cuDF)

Module 3: Advanced Visualization

• WebGL-based dashboards (Deck.gl, Vis.gl)

• Geospatial analytics (PostGIS, Kepler.gl)

Hands-on Labs:

• Real-time anomaly detection on Kafka streams

• Optimizing columnar storage with Apache Arrow