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[WIP] bsql-demos for google colab #4

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[WIP] bsql-demos for google colab #4

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10 changes: 10 additions & 0 deletions colab_notebooks/blazingsql/README.md
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# BlazingSQL Demos
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 |[![Google Colab Badge](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/BlazingDB/bsql-demos/blob/master/colab_notebooks/blazingsql_demo.ipynb)|
| Netflow | Query 65M rows of network security data (netflow) with BlazingSQL and then pass to Graphistry to visualize and interact with the data |[![Google Colab Badge](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/BlazingDB/bsql-demos/blob/master/colab_notebooks/graphistry_netflow_demo.ipynb)|
| Taxi | Train a linear regression model with cuML on 55 million rows of public NYC Taxi Data loaded with BlazingSQL |coming soon|
| BlazingSQL vs. Apache Spark | Analyze 20 million rows of net flow data. Compare BlazingSQL and Apache Spark timings for the same workload |[![Google Colab Badge](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/BlazingDB/bsql-demos/blob/master/colab_notebooks/vs_pyspark_netflow.ipynb)|
| Federated Query | In a single query, join an Apache Parquet file, a CSV file, and a GPU DataFrame (GDF) in GPU memory. |[![Google Colab Badge](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/BlazingDB/bsql-demos/blob/master/colab_notebooks/federated_query_demo.ipynb)|