aws-data-wrangler | Pandas on AWS - Easy integration with Athena Glue

by righteousgambit Python Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | aws-data-wrangler Summary

aws-data-wrangler is a Python library. aws-data-wrangler has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Amazon SageMaker Data Wrangler is a new SageMaker Studio feature that has a similar name but has a different purpose than the AWS Data Wrangler open source project.

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Quality

Security

License

Reuse

Support

aws-data-wrangler has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

aws-data-wrangler has no issues reported. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of aws-data-wrangler is current.

Quality

aws-data-wrangler has no bugs reported.

Security

aws-data-wrangler has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

aws-data-wrangler is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

aws-data-wrangler releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

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aws-data-wrangler Key Features

No Key Features are available at this moment for aws-data-wrangler.

aws-data-wrangler Examples and Code Snippets

No Code Snippets are available at this moment for aws-data-wrangler.

Community Discussions

No Community Discussions are available at this moment for aws-data-wrangler.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install aws-data-wrangler

Installation command: pip install awswrangler. ⚠️ For platforms without PyArrow 3 support (e.g. EMR, Glue PySpark Job, MWAA): ➡️pip install pyarrow==2 awswrangler. What is AWS Data Wrangler?.
What is AWS Data Wrangler?
Install PyPi (pip) Conda AWS Lambda Layer AWS Glue Python Shell Jobs AWS Glue PySpark Jobs Amazon SageMaker Notebook Amazon SageMaker Notebook Lifecycle EMR From source
Tutorials 001 - Introduction 002 - Sessions 003 - Amazon S3 004 - Parquet Datasets 005 - Glue Catalog 006 - Amazon Athena 007 - Databases (Redshift, MySQL, PostgreSQL and SQL Server) 008 - Redshift - Copy & Unload.ipynb 009 - Redshift - Append, Overwrite and Upsert 010 - Parquet Crawler 011 - CSV Datasets 012 - CSV Crawler 013 - Merging Datasets on S3 014 - Schema Evolution 015 - EMR 016 - EMR & Docker 017 - Partition Projection 018 - QuickSight 019 - Athena Cache 020 - Spark Table Interoperability 021 - Global Configurations 022 - Writing Partitions Concurrently 023 - Flexible Partitions Filter 024 - Athena Query Metadata 025 - Redshift - Loading Parquet files with Spectrum 026 - Amazon Timestream 027 - Amazon Timestream 2 028 - Amazon DynamoDB
API Reference Amazon S3 AWS Glue Catalog Amazon Athena Amazon Redshift PostgreSQL MySQL SQL Server DynamoDB Amazon Timestream Amazon EMR Amazon CloudWatch Logs Amazon Chime Amazon QuickSight AWS STS AWS Secrets Manager
License
Contributing
Legacy Docs (pre-1.0.0)

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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