Trapheus
AWS Data Wrangler
| Trapheus | AWS Data Wrangler | |
|---|---|---|
| 5 | 9 | |
| 97 | 3,802 | |
| - | 0.6% | |
| 9.3 | 9.4 | |
| about 2 months ago | 8 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Trapheus
- TrapheusAI: Everyday AI powered data search companion
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Cross account rds instance replication?
Perhaps put a workflow together via step functions that copies the latest snapshot to the other environment and restores it? There’s something that already exists here, that you may be able to mold to your use case: https://github.com/intuit/Trapheus
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Cleanest and easiest way to take a copy of production RDS database and copy to staging every night
Check out Trapheus if you haven’t already. It uses step functions to orchestrate the process for you. If you feel it’s overkill, it’ll at least give you all of the steps/APIs you need at each step of the process: https://github.com/intuit/Trapheus
AWS Data Wrangler
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Read files from s3 using Pandas/s3fs or AWS Data Wrangler?
I had no problem with awswrangler (https://github.com/aws/aws-sdk-pandas) and it supports reading and writing partitions which was really helpful and a few other optimizations that made it a great tool
- I agree that Arrow Tables are great, but we decided to keep the library focused on the Pandas interface. [wont implement]
- Automate some wrangling and data visualization in Python
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Redshift API vs. other ways to connect?
awslabs has developed their own package for this and given it's for their product, seem likely to maintain it. https://github.com/awslabs/aws-data-wrangler
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Parquet files
AWS data wrangler works well. it's a wrapper on pandas: https://github.com/awslabs/aws-data-wrangler
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Reading s3 file data with Python lambda function
you'll find pre-made zips here: https://github.com/awslabs/aws-data-wrangler/releases
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A guide to load (almost) anything into a DataFrame
Don't forget about https://aws-data-wrangler.readthedocs.io/
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Go+: Go designed for data science
Yep, agreed. Go is a great language for AWS Lambda type workflows.
Python isn't as great (Python Lambda Layers built on Macs don't always work). AWS Data Wrangler (https://github.com/awslabs/aws-data-wrangler) provides pre-built layers, which is a work around, but something that's as portable as Go would be the best solution.
- Best way to install pandas and bumpy to AWS Lanbda
What are some alternatives?
openuds - OpenUDS Is an Open Source Source multiplatform connection broker, created by Spanish Company Virtualcable S.L.U. and released under Open Source with the help of several Spanish Universities.
PyAthena - PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.
chalice - Python Serverless Microframework for AWS
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
twitter-chucknorris-aws - I am a Twitter bot hosted on AWS Lambda that posts Chuck Norris jokes! ☁️
ga-extractor - Tool for extracting Google Analytics data suitable for migrating to other platforms/databases
asl-validator - A simple Amazon States Language validator based on JSON schemas.
python-mysql-replication - Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL
RDS-sanitized-snapshots - Take periodic snapshots of RDS databases, sanitize them, and share with other accounts. Useful for QA/dev databases.
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
aws-data-wrangler - pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL). [Moved to: https://github.com/aws/aws-sdk-pandas]
zef - Toolkit for graph-relational data across space and time