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Please [send a Pull Request](https://github.com/awslabs/aws-data-wrangler/edit/master/README.md) with your resource reference and @githubhandle.
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*[Optimize Python ETL by extending Pandas with AWS Data Wrangler](https://aws.amazon.com/blogs/big-data/optimize-python-etl-by-extending-pandas-with-aws-data-wrangler/)[[@igorborgest](https://github.com/igorborgest)]
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*[Reading Parquet Files With AWS Lambda](https://aprakash.wordpress.com/2020/04/14/reading-parquet-files-with-aws-lambda/)[[@anand086](https://github.com/anand086)]
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*[Transform AWS CloudTrail data using AWS Data Wrangler](https://aprakash.wordpress.com/2020/09/17/transform-aws-cloudtrail-data-using-aws-data-wrangler/)[[@anand086](https://github.com/anand086)]
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*[Getting started on AWS Data Wrangler and Athena](https://medium.com/@dheerajsharmainampudi/getting-started-on-aws-data-wrangler-and-athena-7b446c834076)[[@dheerajsharma21](https://github.com/dheerajsharma21)]
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*[Simplifying Pandas integration with AWS data related services](https://medium.com/@bv_subhash/aws-data-wrangler-simplifying-pandas-integration-with-aws-data-related-services-2b3325c12188)[[@bvsubhash](https://github.com/bvsubhash)]
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-[Optimize Python ETL by extending Pandas with AWS Data Wrangler](https://aws.amazon.com/blogs/big-data/optimize-python-etl-by-extending-pandas-with-aws-data-wrangler/)[[@igorborgest](https://github.com/igorborgest)]
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-[Reading Parquet Files With AWS Lambda](https://aprakash.wordpress.com/2020/04/14/reading-parquet-files-with-aws-lambda/)[[@anand086](https://github.com/anand086)]
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-[Transform AWS CloudTrail data using AWS Data Wrangler](https://aprakash.wordpress.com/2020/09/17/transform-aws-cloudtrail-data-using-aws-data-wrangler/)[[@anand086](https://github.com/anand086)]
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-[Getting started on AWS Data Wrangler and Athena](https://medium.com/@dheerajsharmainampudi/getting-started-on-aws-data-wrangler-and-athena-7b446c834076)[[@dheerajsharma21](https://github.com/dheerajsharma21)]
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-[Simplifying Pandas integration with AWS data related services](https://medium.com/@bv_subhash/aws-data-wrangler-simplifying-pandas-integration-with-aws-data-related-services-2b3325c12188)[[@bvsubhash](https://github.com/bvsubhash)]
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## Who uses AWS Data Wrangler?
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Knowing which companies are using this library is important to help prioritize the project internally.
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Please [send a Pull Request](https://github.com/awslabs/aws-data-wrangler/edit/master/README.md) with your company name and @githubhandle if you may.
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Built on top of other open-source projects like `Pandas <https://github.com/pandas-dev/pandas>`_, `Apache Arrow <https://github.com/apache/arrow>`_, `Boto3 <https://github.com/boto/boto3>`_, `SQLAlchemy <https://github.com/sqlalchemy/sqlalchemy>`_, `Psycopg2 <https://github.com/psycopg/psycopg2>`_ and `PyMySQL <https://github.com/PyMySQL/PyMySQL>`_, it offers abstracted functions to execute usual ETL tasks like load/unload data from **Data Lakes**, **Data Warehouses** and **Databases**.
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Check our `tutorials <https://github.com/awslabs/aws-data-wrangler/tree/master/tutorials>`_ or the `list of functionalities <https://aws-data-wrangler.readthedocs.io/en/latest/api.html>`_.
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Check our `tutorials <https://github.com/awslabs/aws-data-wrangler/tree/master/tutorials>`_ or the `list of functionalities <https://aws-data-wrangler.readthedocs.io/en/stable/api.html>`_.
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"\n",
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"Built on top of other open-source projects like [Pandas](https://github.com/pandas-dev/pandas), [Apache Arrow](https://github.com/apache/arrow), [Boto3](https://github.com/boto/boto3), [SQLAlchemy](https://github.com/sqlalchemy/sqlalchemy), [Psycopg2](https://github.com/psycopg/psycopg2) and [PyMySQL](https://github.com/PyMySQL/PyMySQL), it offers abstracted functions to execute usual ETL tasks like load/unload data from **Data Lakes**, **Data Warehouses** and **Databases**.\n",
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"\n",
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"Check our [list of functionalities](https://aws-data-wrangler.readthedocs.io/en/latest/api.html)."
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"Check our [list of functionalities](https://aws-data-wrangler.readthedocs.io/en/stable/api.html)."
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]
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},
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"\n",
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"The Wrangler runs almost anywhere over Python 3.6, 3.7 and 3.8, so there are several different ways to install it in the desired enviroment.\n",
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"\n",
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"[Wrangler](https://github.com/awslabs/aws-data-wrangler)'s Database module (`wr.db.*`) has two mainly functions that tries to follow the Pandas conventions, but add more data type consistency.\n",
"The Wrangler offers basically three diffent ways to create a SQLAlchemy engine.\n",
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"\n",
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"1 - [wr.catalog.get_engine()](https://aws-data-wrangler.readthedocs.io/en/latest/stubs/awswrangler.catalog.get_engine.html#awswrangler.catalog.get_engine): Get the engine from a Glue Catalog Connection.\n",
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"1 - [wr.catalog.get_engine()](https://aws-data-wrangler.readthedocs.io/en/stable/stubs/awswrangler.catalog.get_engine.html#awswrangler.catalog.get_engine): Get the engine from a Glue Catalog Connection.\n",
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"\n",
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"2 - [wr.db.get_engine()](https://aws-data-wrangler.readthedocs.io/en/latest/stubs/awswrangler.db.get_engine.html#awswrangler.db.get_engine): Get the engine from primitives values (host, user, password, etc).\n",
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"2 - [wr.db.get_engine()](https://aws-data-wrangler.readthedocs.io/en/stable/stubs/awswrangler.db.get_engine.html#awswrangler.db.get_engine): Get the engine from primitives values (host, user, password, etc).\n",
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"\n",
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"3 - [wr.db.get_redshift_temp_engine()](https://aws-data-wrangler.readthedocs.io/en/latest/stubs/awswrangler.db.get_redshift_temp_engine.html#awswrangler.db.get_redshift_temp_engine): Get redshift engine with temporary credentials. "
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"3 - [wr.db.get_redshift_temp_engine()](https://aws-data-wrangler.readthedocs.io/en/stable/stubs/awswrangler.db.get_redshift_temp_engine.html#awswrangler.db.get_redshift_temp_engine): Get redshift engine with temporary credentials. "
"- [wr.s3.store_parquet_metadata()](https://aws-data-wrangler.readthedocs.io/en/latest/stubs/awswrangler.s3.store_parquet_metadata.html#awswrangler.s3.store_parquet_metadata) i.e. \"Crawler\""
"- [wr.s3.store_parquet_metadata()](https://aws-data-wrangler.readthedocs.io/en/stable/stubs/awswrangler.s3.store_parquet_metadata.html#awswrangler.s3.store_parquet_metadata) i.e. \"Crawler\""
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"- **Environment variables**\n",
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"- **wr.config**\n",
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"\n",
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"*P.S. Check the [function API doc](https://aws-data-wrangler.readthedocs.io/en/latest/api.html) to see if your function has some argument that can be configured through Global configurations.*"
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"*P.S. Check the [function API doc](https://aws-data-wrangler.readthedocs.io/en/stable/api.html) to see if your function has some argument that can be configured through Global configurations.*"
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