darshilparmar/uber-etl-pipeline-data-engineering-project

Jupyter NotebookPython
This is stars and forks stats for /darshilparmar/uber-etl-pipeline-data-engineering-project repository. As of 04 May, 2024 this repository has 115 stars and 82 forks.

Uber Data Analytics | Modern Data Engineering GCP Project Introduction The goal of this project is to perform data analytics on Uber data using various tools and technologies, including GCP Storage, Python, Compute Instance, Mage Data Pipeline Tool, BigQuery, and Looker Studio. Architecture Technology Used Programming Language - Python Google Cloud Platform Google Storage Compute Instance BigQuery Looker Studio Modern Data Pipeine Tool - https://www.mage.ai/ Contibute to this open source project...
Read on GithubGithub Stats Page
repotechsstarsweeklyforksweekly
seL4/websitePromelaPythonCSS30100
SCUTlihaoyu/open-chat-video-editorPython2.3k02960
imartinez/privateGPTPython38.4k05.1k0
GFW-knocker/gfw_resist_HTTPS_proxyPython378+3440
IBM/DromedaryPythonShell994+10760
SamurAIGPT/ChatGPT-Developer-PluginsPython6380640
getsentry/sentry-pythonPythonOther1.6k04390
AI4Finance-Foundation/FinGPTJupyter NotebookPythonOther8.9k02k0
NctimeAza/StarRail-CheatCC++Python430200
adaltas/dsti-bigdata-2023-springJupyter NotebookPythonHiveQL6070