This repository includes some AWS Cloud Quest. it not include the cloud practitioner labs
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Updated
Apr 8, 2023 - Python
This repository includes some AWS Cloud Quest. it not include the cloud practitioner labs
Build a Visualization and Monitoring Dashboard for IoT Data with Amazon Kinesis Analytics and Amazon QuickSight
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…
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.
A demand forecasting pipeline deployed on Azure and AWS
The testbed showing how to embed QuickSight dashboards into a web app
Refresh Amazon QuickSight SPICE Datasets
Streaming data pipeline on aws, Tech session repository for hist
Daily power consumption and production data retrieving and insights from France.
Unveiling job market trends with Scrapy and AWS
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.
Data Engineering Final Project - June 23, 2022
Get the dataset intro a S3 bucket, use AWS glue to transform the dataset, write a Lambda script to clean the dataset, query the dataset via AWS Athena then build a dashboard using AWS Quicksight.
Dashboard generated using Python and AWS services
Batch datapipeline on aws using glue
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