Demo Python notebooks using BlazingSQL with the RAPIDS AI ecoystem.
| Notebook Title | Description | Launch in Colab |
|---|---|---|
| Getting Started | How to set up and get started with BlazingSQL and the RAPIDS AI suite |  |
| Netflow | Query 65M rows of network security data (netflow) with BlazingSQL and then pass to Graphistry to visualize and interact with the data | |
| Taxi | Train a linear regression model with cuML on 55 million rows of public NYC Taxi Data loaded with BlazingSQL | |
| BlazingSQL vs. Apache Spark | Analyze 20 million rows of net flow data. Compare BlazingSQL and Apache Spark timings for the same workload | |
| Federated Query | In a single query, join an Apache Parquet file, a CSV file, and a GPU DataFrame (GDF) in GPU memory. | |