dogukannulu/aws_end_to_end_streaming_pipeline
An AWS Data Engineering End-to-End Project (Glue, Lambda, Kinesis, Redshift, QuickSight, Athena, EC2, S3)
This project helps data engineers set up a complete, automated system for handling real-time data on Amazon Web Services (AWS). It takes live data streams, processes them, and makes them ready for analysis and reporting. The end result is a robust pipeline that delivers insights from constantly flowing information.
No commits in the last 6 months.
Use this if you need to build a scalable and reliable infrastructure for streaming data analytics using AWS services.
Not ideal if you are looking for a pre-built dashboard or a tool for data analysis itself, as this focuses on the underlying data plumbing.
Stars
16
Forks
9
Language
Python
License
—
Category
Last pushed
Sep 20, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/perception/dogukannulu/aws_end_to_end_streaming_pipeline"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scrapy/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
Altimis/Scweet
A simple and unlimited twitter scraper : scrape tweets, likes, retweets, following, followers,...
lexiforest/curl_cffi
Python binding for curl-impersonate fork via cffi. A http client that can impersonate browser...
plabayo/rama
modular service framework to move and transform network packets
scrapinghub/spidermon
Scrapy Extension for monitoring spiders execution.