Build clickstream analytics on AWS for your mobile and web applications

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.

Unveiling job market trends with Scrapy and AWS

This project repo 📺 offers a robust solution meticulously crafted to efficiently manage, process, and analyze YouTube video data leveraging the power of AWS services. Whether you're diving into structured statistics or exploring the nuances of trending key metrics, this pipeline is engineered to handle it all with finesse.

aws-quicksight-tool assists in the use of the AWS QuickSight CLI.

An End-To-End data pipeline integration from Website Source to analytical dashboard in AWS using Python flask, ML models, DynamoDB and other AWS services.

Daily power consumption and production data retrieving and insights from France.

Voice of the Customer (VoC) to enhance customer experience with serverless architecture and sentiment analysis, using Amazon Kinesis, Amazon Athena, Amazon QuickSight, Amazon Comprehend, and ChatGPT-LLMs for sentiment analysis.

US Insurance cost predicting linear regression model. Mainly used to learn about Machine Learning tools in Amazon Web Services (AWS)

A demand forecasting pipeline deployed on Azure and AWS

Convert DMARC reports to TSV (or CSV) format for easier analysis and visualisation

Batch datapipeline on aws using glue in 2022

Batch datapipeline on aws using glue

Streaming data pipeline on aws, Tech session repository for hist

Bring your own data Labs: Build a serverless data pipeline based on your own data

ML Model that takes a user's resume and desired job's profile, identifies skills gaps and recommends course learning pathway to bridge gap

This repository includes some AWS Cloud Quest. it not include the cloud practitioner labs

. The specific project covered in the tutorial involves using Amazon S3 and Amazon QuickSight to create visualizations from a data set of 50,000 best-selling products on Amazon.com provided by Bright Data.

you run a script to mimic multiple sensors publishing messages on an IoT MQTT topic, with one message published every second. The events get sent to AWS IoT, where an IoT rule is configured. The IoT rule captures all messages and sends them to Firehose. From there, Firehose writes the messages in batches to objects stored in S3. In S3, you set u…