covid-19-data-engineering-pipeline
dataall
| covid-19-data-engineering-pipeline | dataall | |
|---|---|---|
| 1 | 1 | |
| 22 | 210 | |
| - | 2.4% | |
| 5.3 | 9.4 | |
| 5 months ago | 6 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.
covid-19-data-engineering-pipeline
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COVID-19 data pipeline on AWS feat. Glue/PySpark, Docker, Great Expectations, Airflow, and Redshift, templated in CF/CDK, deployable via Github Actions
I've seen amazing projects here already, which honestly were a great inspiration, and today I would like to show you my project. Some time ago, I had the idea to apply every tool I wanted to learn or try out to the same topic and since then this idea has grown into an entire pipeline: https://github.com/moritzkoerber/covid-19-data-engineering-pipeline
dataall
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Newsletter martinmueller.dev 2022 week 19
And again a nice weekly summary. My highlight is the aws-dataall as it looks super interesting for sharing ML data company internally and event externally mhh. Lots to think about here. But as always there is tons of other gold so you have to explore that!
What are some alternatives?
awesome-chalice - Discover the power of AWS Chalice, the ultimate framework for crafting seamless Python serverless applications. With Chalice, you can effortlessly build and manage HTTPS APIs, create web apps using popular front-end toolkits, and serve as the backend for cross-platform desktop and mobile apps developed with Qt for Python.
projen - Rapidly build modern applications with advanced configuration management
F2-Data-Pipeline - Pipeline for Automated Updates of Kaggle's "Formula 2 Dataset"
flowrunner - Flowrunner is a lightweight package to organize and represent Data Engineering/Science workflows
lambda2docker - Generate a Dockerfile from an AWS Lambda function
prefect-deployment-patterns - Code examples showing flow deployment to various types of infrastructure
Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data - Mobile robot data were analyzed with Apache-Spark to extract five different statistical result such as travel time, waiting time, average speed, occupancy and density were produced.
senjuns - Monorepo for wiki, landingpage, AWS CDK code and more for Senjuns. Senjuns is (will be) a freelancer platform for connecting seniors and juniors with clients.
Patek - A collection of reusable pyspark utility functions that help make development easier!
MyVoteAWS - beginner aws project to learn how various components work - build voting app
livyc - Apache Spark as a Service with Apache Livy Client
AWS-Guide - Amazon Web Services (AWS) Guide. Learn all about Amazon Web Services Tools, Services, and Certifications.