Ahmed Abunadi on LinkedIn data datawarehouse datalake
Github - Awslabs/Aws-Data-Wrangler: Pandas On Aws - Easy Integration With Athena. ️ pip install pyarrow==2 awswrangler. Aws data wrangler files pandas on aws, easy integration with athena, glue, redshift, etc.
⚠️ for platforms without pyarrow 4 support (e.g. Users required to change their. Mwaa, emr, glue pyspark job): Describe the solution you'd like i don't think there is good solutions (aka silver bullet) for now. Enable parallel s3 downloads (~20% speedup) 🚀. Easy integration with athena, glue, redshift, timestream, opensearch, neptune,. Can handle some level of nested types. Wraps the query with a ctas and then reads the table data as parquet directly from s3. Recent commits have higher weight than older ones. Activity is a relative number indicating how actively a project is being developed.
Serialize a json object to a json file. Enable parallel s3 downloads (~20% speedup) 🚀. Requires create/delete table permissions on glue. Describe the solution you'd like i don't think there is good solutions (aka silver bullet) for now. Faster for mid and big result sizes. If none is provided, the aws account id is used by default. Converts a dataset to a pdf3 file. It іs based on code from the google boringssl project and the openssl project. Can handle some level of nested types. Download aws data wrangler for free. Specifies the secret containing the connection details that you want to retrieve.
