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@@ -3,13 +3,20 @@ ETL with Python Training - Taught during [Data Warehousing course - Tel Aviv Uni
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### The Training is planned for ~2 hours and contains 4 notebook files:
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* **[jupyter-notebook.ipynb](/jupyter-notebook.ipynb)** - quick Jupiter notebook introduction and tutorial
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* **[Mysql-io.ipynb](/Mysql-io.ipynb)** - Input/Output to MySQL using [``MySQLdb`` connector](http://mysql-python.sourceforge.net/MySQLdb.html)
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* **[ETL with Python.ipynb](/ETL_with_Python.ipynb)** - ETL with python using [``petl``](https://petl.readthedocs.io/en/latest/) package
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* **[CSV-io](/csv_io/CSV-io.ipynb)** - ``csv`` library usage examples
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### Data files:
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* **drinks.json** - drinks consumption data ([source](https://github.com/justmarkham))
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* **drinks.zip** - zipped json file (used for a zip file example in ETL notebook)
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* assuming you have default build-in **world** schema of MySQL (mysql-io exercise) if not you can get it by running **CreateWorld.sql** - dump of sql scripy for creating world schema for *mysql-io* exercise.
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* **file1.csv**/**file2.csv**/**flie3.csv** - csv examples for ``csv`` library
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* **simpsons_phone_book.csv** - csv example for ``sniffer``

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