Found 48 repositories(showing 30)
abohassan123
No description available
mahanta-mayur
This project aims to securely manage, streamline, and perform analysis on the structured and semi-structured YouTube videos data based on the video categories and the trending metrics. Brief : Data -> Multiple buckets s3 Aws -> Data Preprocessing ETL (Lambda Function with s3 trigger) -> ETL to join -> Analysis Bucket -> QuickSight Data Analysis AWS
snkpgithub
This project leverages AWS cloud services to ingest, process, and analyze YouTube trending video data. It implements a scalable ETL pipeline and data lake architecture, culminating in interactive dashboards for insights into video popularity trends across different regions.
cjunwon
End-to-end Youtube data analysis project using Youtube Data API, MySQL, AWS, Flask
snehalsmalladi
The objective of this initiative is to securely oversee, optimize, and conduct analyses on both structured and semi-structured data from YouTube videos. This involves categorizing videos and assessing trending metrics for enhanced insights.
anandmadkar
No description available
AryanK112233
No description available
Edwina-Singh
No description available
maanvendrasingh
In this project I have used the Trending YouTube Video Statistics data from Kaggle to analyze and prepare it for usage.
harshjain-data
Data Engineering Project on AWS for YouTube Videos Analysis
lokmanTech
End-to-end YouTube data analysis project covering ingestion, AWS data lake, ETL, scalability, and reporting with Python and AWS services.
No description available
Ankesh-babal
No description available
kookwangs
Hands-on project exploring AWS cloud services to gain practical experience with its tools and platform. Learned from Darshil Parmar’s YouTube channel, covering key AWS concepts and best practices.
chakradharreddynallu
No description available
The objective of this project is to securely load and transform, optimize, and conduct assessments of YouTube video content data, considering both structured and semi-structured data, with a focus on video categories and popularity indicators.
Gaurangi-Shende
Data Engineering YouTube Analysis Project using AWS services (Amazon S3, AWS IAM, QuickSight, AWS Glue, AWS Lambda, AWS Athena).
A data engineering project for Youtube statistics using AWS Cloud
panditpooja
Self-Initiated Project: Streamlined Analysis and Management of YouTube Trending Data Using AWS
No description available
PrasadShetye1309
Built an end-to-end YouTube data analysis pipeline using AWS services such as S3, Glue, Athena, and QuickSight.
deulkarnitant
Built an end-to-end YouTube data analysis pipeline using AWS services such as S3, Glue, Athena, and QuickSight.
TawfikYasser
YouTube Data Analysis Data Engineering Project using AWS
No description available
aryankumar120
A Serverless AWS Pipeline for YouTube Trend Analysis - Data Engineering Project
BalasubramanianDivya
Data engineering project: YouTube comments sentiment analysis using Python and AWS concepts.
nanduri-kameswar
An End To End Data Engineering Project of Youtube Data Analysis On AWS Cloud
tknishh
End-to-end data engineering project for youtube analysis using spark and AWS.
drishtihingar
YouTube Analysis Project - End-to-End Data Engineering utilizing AWS cloud and Python
Kartikist
This project involves using AWS services for creating dashboards of YouTube data for analysis.