beginner_de_project
AWS Data Wrangler
| beginner_de_project | AWS Data Wrangler | |
|---|---|---|
| 1 | 9 | |
| 389 | 3,802 | |
| - | 0.6% | |
| 2.8 | 9.4 | |
| about 1 month ago | 8 days ago | |
| HCL | Python | |
| MIT License | Apache License 2.0 |
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beginner_de_project
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Data Engineering project for beginners V2
Repo: https://github.com/josephmachado/beginner_de_project
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?
docker-airflow - Docker Apache Airflow
PyAthena - PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.
sec-airflow-ingester - Use Airflow to pull in remote data via API, pub/sub, kinesis, s3 etc. and then store it in s3 for later consumption by other services.
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
Skytrax-Data-Warehouse - A full data warehouse infrastructure with ETL pipelines running inside docker on Apache Airflow for data orchestration, AWS Redshift for cloud data warehouse and Metabase to serve the needs of data visualizations such as analytical dashboards.
ga-extractor - Tool for extracting Google Analytics data suitable for migrating to other platforms/databases
dbd - dbd is a database prototyping tool that enables data analysts and engineers to quickly load and transform data in SQL databases.
python-mysql-replication - Pure Python Implementation of MySQL replication protocol build on top of PyMYSQL
gonum - Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
zef - Toolkit for graph-relational data across space and time
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
getting-started - Getting started with Docker