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Topic: "aws-quicksight"

aws-solutions/clickstream-analytics-on-aws

Build clickstream analytics on AWS for your mobile and web applications

Language: TypeScript - Size: 72.3 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 71 - Forks: 22

aws-samples/bring-your-own-data-labs 📦

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

Language: HTML - Size: 31.1 MB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 42 - Forks: 25

nnthanh101/sentiment-analysis

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.

Language: JavaScript - Size: 7.78 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 24 - Forks: 5

AWS-Big-Data-Projects/IoT-Data-with-Amazon-Kinesis

Build a Visualization and Monitoring Dashboard for IoT Data with Amazon Kinesis Analytics and Amazon QuickSight

Language: Python - Size: 36.1 KB - Last synced at: 2 days ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 0

mincloud1501/DevOps

DevOps에 대한 개념 이해와 AWS 개발자 도구를 활용한 실습 및 연구

Language: Java - Size: 3.21 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 1

AditModi/AWS-Business-Analysis-and-Prediction

Build machine learning-powered business intelligence analyses using Amazon QuickSight

Size: 25.4 KB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 2

AWS-Big-Data-Projects/front-line-concussion-monitoring-system-using-AWS-IoT-and-serverless-data-lakes

A simple, practical, and affordable system for measuring head trauma within the sports environment, subject to the absence of trained medical personnel made using Amazon Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and AWS Lambda

Language: Shell - Size: 30.3 KB - Last synced at: 2 days ago - Pushed at: over 4 years ago - Stars: 12 - Forks: 0

AWS-Big-Data-Projects/HeartRate-Monitoring-using-AWS-IOT-and-AWS-KINESIS

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 up a table in Athena and use QuickSight to analyze the IoT data.

Language: Python - Size: 15.6 KB - Last synced at: 2 days ago - Pushed at: about 2 years ago - Stars: 10 - Forks: 1

abduljaleel/workshop-appflow-athena-quicksight

AWS Programming and Tools meetup workshop

Size: 2.96 MB - Last synced at: 1 day ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 0

shogo452/aws-quicksight-tool

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

Language: Ruby - Size: 51.8 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 1

Ren294/Covid-Data-Process

This project integrates real-time data processing and analytics using Apache NiFi, Kafka, Spark, Hive, and AWS services for comprehensive COVID-19 data insights.

Language: Shell - Size: 6.22 MB - Last synced at: 18 days ago - Pushed at: 7 months ago - Stars: 6 - Forks: 0

JamesJJ/dmarc-report-ses-tsv

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

Language: Go - Size: 430 KB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

rochitasundar/TwitterSentimentAnalysis-BigDataProject

Scrapped tweets using twitter API (for keyword ‘Netflix’) on an AWS EC2 instance, ingested data into S3 via kinesis firehose. Used Spark ML on databricks to build a pipeline for sentiment classification model and Athena & QuickSight to build a dashboard

Language: Jupyter Notebook - Size: 8.79 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

pizofreude/insightflow-retail-economic-pipeline

A data engineering portfolio project using AWS cloud services to analyze correlations between Malaysian retail performance and fuel prices. Features Terraform IaC, ETL/ELT with AWS S3, Glue, SQL analytics via Athena coupled with data transformation via dbt, and workflow orchestration with Kestra.

Language: HCL - Size: 672 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

evanmathew/Reddit_ETL_DE

This project demonstrates a complete data pipeline for extracting, transforming, and loading (ETL) Reddit data into an Amazon Redshift data warehouse. The pipeline uses various AWS services and tools including Apache Airflow, PostgreSQL, AWS S3, AWS Glue, AWS Athena, and Amazon Redshift. The project is orchestrated using Docker and Apache Airflow

Language: Python - Size: 137 KB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

SadafAsad/LinkedIn-Jobs-Analysis

Unveiling job market trends with Scrapy and AWS

Language: Python - Size: 562 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

RuFerdZ/Medical-X

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

Language: Jupyter Notebook - Size: 25.1 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

zakkipuar23/Shipper_and_AWS_hackathon

Put-away is one of the most crucial process in supply chain. If we misplace the goods, all of the rest process could be potentially delayed. That's why we choose this process to be improved by multiclassification machine learning model and dashboarding with AWS.

Size: 3.11 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

markoshlima/positional-file-process

This project is based for legacy applications that works with positional files to process data. The objetive is read these positional files when they arrives in AWS S3, and then send to a dataware-house like AWS Redshift, and finally read the results with a Business Intelligence tool as AWS QuickSight.

Size: 873 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

cevoaustralia/data-lake-demo

Data lake demo using change data capture (CDC) on AWS

Language: PLpgSQL - Size: 215 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 3

vbessonov/quicksight-embedding-test

The testbed showing how to embed QuickSight dashboards into a web app

Language: Python - Size: 87.9 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

gps31320779/insightflow-retail-economic-pipeline

A data engineering portfolio project using AWS cloud services to analyze correlations between Malaysian retail performance and fuel prices. Features Terraform IaC, ETL/ELT with AWS S3, Glue, SQL analytics via Athena coupled with data transformation via dbt, and workflow orchestration with Kestra.

Size: 8.79 KB - Last synced at: about 22 hours ago - Pushed at: about 22 hours ago - Stars: 0 - Forks: 0

ghfjd/youtube-veri-analizi-sunum

Veri analizi hakkında hazırladığım sunum

Size: 1000 Bytes - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

reyhanhosavci/youtube-veri-analizi-sunum

Veri analizi hakkında hazırladığım sunum

Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Srinivas39322/Predictive_Analysis_And_Visualization_Pipeline_Using_AWS

AWS Predictive Analytics Pipeline: End-to-end solution for scalable machine learning and visualization in finance using AWS S3, SageMaker, and QuickSight. 🚀📊

Language: Jupyter Notebook - Size: 24.7 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

lasyakonduru/superstore-sales-data-analysis

Analysis of sales performance and operational efficiency in a superstore using AWS Athena and QuickSight

Size: 2.25 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

gachokahassan/Visualize-Data-With-Amazon-QuickSight

Visualize Netflix's TV shows and movie trends using Amazon QuickSight. Includes dataset preparation, S3 integration, and an interactive dashboard for data insights.

Size: 3.22 MB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Tyriek-cloud/NYC-Mobility-Survey-Analysis

An end-to-end data engineering project in which five NYC DOT datasets were modified in an ETL process and analyzed for insights.

Language: Python - Size: 2.75 MB - Last synced at: 18 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

vamsi2792/AWS_Visualize_data

Built a Comprehensive Dashboard using Amazon QuickSight for the Netflix dataset

Size: 4.14 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

mihirkudale/youtube-analysis-data-engineering-project

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.

Language: Python - Size: 114 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

shiv-rna/Youtube-Data-Engineering-Pipeline

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.

Language: Python - Size: 179 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

parth2050/aws-data-pipeline

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.

Language: HTML - Size: 8.79 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Luunynliny/RTE-Consumption-Insights

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

Language: Python - Size: 699 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 1

dishadas168/demand-forecasting-ebay

A demand forecasting pipeline deployed on Azure and AWS

Language: Python - Size: 1.31 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 2

byungjun0689/aws-glue-etl-sample-hist-2022

Batch datapipeline on aws using glue in 2022

Size: 10.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

byungjun0689/aws-glue-etl-sample-hist-2023

Batch datapipeline on aws using glue

Language: Python - Size: 104 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ramyashreeshetty/youtube-data-analytics-pipeline

Dashboard generated using Python and AWS services

Language: Python - Size: 176 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

gakas14/car_insurance_with_aws

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.

Language: Python - Size: 1.11 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Sigrid242/AWS-Quicksight-Covid-19-Hospitalizations-Dashboard

Covid-19 hospitalization dashboard

Size: 175 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

pgplarosa/Data-Architecture-for-Tracking-COVID-Statistics-and-Sentiments

Data Engineering Final Project - June 23, 2022

Language: Python - Size: 4.09 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

tosh2230/aws-respice

Refresh Amazon QuickSight SPICE Datasets

Language: Python - Size: 3.91 KB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1