.. _data_science:

======================
Data science solutions
======================

Using NVIDIA RAPIDS to solve problems in data science.

ETL
===

Extract, Transform, Load (or ETL) is a cornerstone of today's 
Data Science. As data scientists we spend 80% of our time dealing with datasets.

- **Seattle parking:** `1_blazing_seattleParking.ipynb <https://github.com/BlazingDB/Welcome_to_BlazingSQL_Notebooks/blob/master/webinars/seattle_parking/1_blazing_seattleParking.ipynb>`_
- **COVID-19:** `1_DataExploration.ipynb <https://github.com/BlazingDB/Welcome_to_BlazingSQL_Notebooks/blob/master/webinars/covid/1_DataExploration.ipynb>`_


NLP
===

In the past doing Natural Language Processing was almost solely restricted 
to CPU frameworks. 

- **GPU Big Data Benchmark:**: `Query 27 <https://render.githubusercontent.com/view/ipynb?color_mode=light&commit=8eb32d9f4f2b9cbe0cb01d300d0f8e7026362d8d&enc_url=68747470733a2f2f7261772e67697468756275736572636f6e74656e742e636f6d2f426c617a696e6744422f57656c636f6d655f746f5f426c617a696e6753514c5f4e6f7465626f6f6b732f386562333264396634663262396362653063623031643330306430663865373032363336326438642f776562696e6172732f6770755f6264622f4750555f4244422e6970796e62&nwo=BlazingDB%2FWelcome_to_BlazingSQL_Notebooks&path=webinars%2Fgpu_bdb%2FGPU_BDB.ipynb&repository_id=248069066&repository_type=Repository#Use-case-27>`_
- **COVID-19:** `2_ReadAndProcessJSON.ipynb <https://github.com/BlazingDB/Welcome_to_BlazingSQL_Notebooks/blob/master/webinars/covid/2_ReadAndProcessJSON.ipynb>`_


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