covid-19-data-engineering-pipeline
awesome-chalice
| covid-19-data-engineering-pipeline | awesome-chalice | |
|---|---|---|
| 1 | 30 | |
| 22 | 210 | |
| - | - | |
| 5.3 | 5.1 | |
| 5 months ago | about 1 year ago | |
| Python | HTML | |
| MIT License | GNU General Public License v3.0 or later |
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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
awesome-chalice
- Awesome-Chalice: Porridge for your LLVM'd λLLMs
- The unreasonable effectiveness of unreasonable effectiveness posts
- Ａｗｅｓｏｍｅ Ｃｈａｌｉｃｅ： Ｐｙｔｈｏｎ Ｓｅｒｖｅｒｌｅｓｓ Ｍｉｃｒｏｆｒａｍｅｗｏｒｋ ｆｏｒ ＡＷＳ Ｌａｍｂｄａ
- Automatically Manage Your AWS Account via AWS Lambda via AWS Chalice via AWS CDK
- Manage Your AWS Accounts from AWS Lambda with AWS Chalice via AWS CDK
What are some alternatives?
F2-Data-Pipeline - Pipeline for Automated Updates of Kaggle's "Formula 2 Dataset"
sqs-with-lambda-using-aws-amplify - Tutorial: Integrate Custom Resource (SQS) with amplify such that sending message to queue invokes lambda with the event message in body. Receive same payload inside the lambda function. In this tutorial, we are integrating SQS to send message in to lambda function in an Amplify project using Cloudformation.
dataall - A modern data marketplace that makes collaboration among diverse users (like business, analysts and engineers) easier, increasing efficiency and agility in data projects on AWS.
print-rider-py - Sharing API exchanges using HttpRider
lambda2docker - Generate a Dockerfile from an AWS Lambda function
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).
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.
aws-elb-autoscaling - Auto Scaling VM-Series firewalls in AWS
Patek - A collection of reusable pyspark utility functions that help make development easier!
up - Deploy infinitely scalable serverless apps, apis, and sites in seconds to AWS.
livyc - Apache Spark as a Service with Apache Livy Client
cloud-is-free - Learn how to setup Cloud projects... for free!