Topic: "quicksight"
awslabs/voice-powered-analytics 📦
Workshop to build voice enabled integration with data analytics
Language: Python - Size: 66.7 MB - Last synced at: 8 days ago - Pushed at: about 5 years ago - Stars: 116 - Forks: 44

aws-solutions/discovering-hot-topics-using-machine-learning 📦
The Discovering Hot Topics Using Machine Learning solution helps brand-conscious customers understand the most popular topics being actively discussed by ingesting digital assets and performing near real-time inferences and analytics
Language: JavaScript - Size: 8.35 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 66 - Forks: 22

nuuday/terraform-aws-cur
Terraform module for creating Cost and Usage Reports complete with Glue and Athena to make CUR data available to e.g. QuickSight.
Language: HCL - Size: 38.1 KB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 15

gmournos/quicksight-as-code
QuickSight artifacts with CDK, CodePipeline, CLI scripts
Language: TypeScript - Size: 78.1 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 19 - Forks: 4

dylanzenner/business_closures_de_pipeline
Data Engineering pipeline hosted entirely in the AWS ecosystem utilizing DocumentDB as the database
Language: Python - Size: 3.95 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 13 - Forks: 6

victor369basu/SagemakerHuggingfaceDashboard
This is a solution that demonstrates how to train and deploy a pre-trained Huggingface model on AWS SageMaker and publish an AWS QuickSight Dashboard that visualizes the model performance over the validation dataset and Exploratory Data Analysis for the pre-processed training dataset.
Language: Jupyter Notebook - Size: 1.74 MB - Last synced at: 12 months ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 2

JohannesKonings/examples-aws-dynamodb-analytics-cdk
Example how to Analyze DynamoDB data with Athena in different ways created with AWS CDK
Language: TypeScript - Size: 541 KB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 2

aws-samples/ai-powered-text-insights
Language: Python - Size: 7.52 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 9 - Forks: 3

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

developers-cosmos/Explore-AWS-Quicksight
This Repository Contains Detailed Explanation of AWS QuickSight's Latest feature( Augmenting QuickSight WIth SageMaker) . It Also Contains Deploying your own models in SageMaker AWS.
Language: Jupyter Notebook - Size: 865 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 1

sahays/serverless-analytics
AWS Serverless Analytics using Amazon S3, Athena, Glue, and QuickSight
Language: Python - Size: 16.1 MB - Last synced at: 5 months ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 5

msfidelis/aws-serverless-analytics-poc
[PoC] Simple stack to create ETLs and Data Warehouses on AWS
Language: HCL - Size: 24.4 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

noorsyyed/awesome-honeycode
Awesome list of AWS Honeycode platform
Size: 15.6 KB - Last synced at: 2 days ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

dbsystel/v-quicksight
A set of Vue3 component wrappers for the amazon-quicksight-embedding-sdk
Language: TypeScript - Size: 2.59 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 2 - Forks: 0

aws-samples/register-quicksight-users
Python script to automatically register Quicksight users based on a configuration file.
Language: Python - Size: 94.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

romans-weapon/aws-analytics-services-cheat-sheet
A last minute revision cheat sheet for all aws data analytics services
Size: 748 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

Ahmedmagdy31/Data-Engineering-Project-over-AWS
Building and executing end-to-end ELT pipeline and driving analytics using Amazon Redshift as the data warehouse solution.
Size: 11.7 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

Naz513/ETLCovid19Project
Event-Driven Python on AWS #CloudGuruChallenge
Language: Python - Size: 974 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0

aws-samples/aws-iot-greengrass-flat-file-ingestion
This solution ingests flat files into AWS IoT Core using AWS IoT Greengrass at the edge. The data is then stored and analyzed using AWS IoT Analytics and visualized using Amazon QuickSight.
Language: Python - Size: 3.64 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 3

yefriddavid/helpful-aws-scripts
some helpful aws scripts
Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 1

aws-samples/finding-untagged-resources-across-accounts
This repository provides a sample solution for finding both untagged and tagged resources across accounts using AWS Resource Explorer (ARE), and visualize found resources in a QuickSight dashboard. CloudFormation templates are provided for auto deployment.
Size: 834 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

WebCafeTech/quicksight-bundle-migration
AWS Quicksight Asset as a bundle. This repo contains python scripts to perform migration. Import and export of assets.
Language: Shell - Size: 328 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

MariaGiuliaMartins/QuickSightCodes
QuickSight codes related, specially, with analytics issues
Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

dogukannulu/aws_end_to_end_streaming_pipeline
An AWS Data Engineering End-to-End Project (Glue, Lambda, Kinesis, Redshift, QuickSight, Athena, EC2, S3)
Language: Python - Size: 187 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

MaggieUBC/Cancer-Sentiment-Analysis
This project was run in DataBricks using spark to analyze the recent news in 'cancer' for sentiment evaluation. The goal of this project is to practice traditional NLP like tokenization, stopwords, CV and TF-IDF, N-grams. Also, this project applied tools like AWS S3, athena, QuickSight etc. to address big data.
Size: 6.48 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

sagarlakshmipathy/quicksight-continuous-deploy
This project helps admins to migrate QuickSight dashboards from one account to another through Continuous Deploy process
Language: Python - Size: 11.7 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

Sigrid242/Data-Analysis-using-AWS-services-Athena-Glue-S3-IAM-Quicksight
End-to-end simple data analysis in AWS
Size: 402 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

angelagonzalezp/TFM_AWS
AWS based tool to analyse the spread of misinformation on Twitter.
Language: Python - Size: 35.4 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

mboisnard/aws-quicksight-cognito
Display embedded quicksight dashboard using Cognito connected user
Language: JavaScript - Size: 949 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

nnthanh101/serverless-data-lake 📦
Serverless Data Lake on AWS. Slideshare: https://www.slideshare.net/SmartBizVN/serverless-data-lake-on-aws
Language: Jupyter Notebook - Size: 41.8 MB - Last synced at: 21 days ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 3

ayush159/Shopper-Sentiment-Analysis
Deriving actionable insights from live video stream of a retail store.
Language: CSS - Size: 4.43 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

mcgarrah/quicksight_demo
AWS Quicksight Demonstration
Language: Python - Size: 903 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

deept-agl/Youtube-data-ETL-Analysis-using-AWS
This project creates a scalable data pipeline to analyze YouTube data from Kaggle using AWS services: S3, Glue, Lambda, Athena, and QuickSight. It processes raw JSON and CSV files into cleansed, partitioned datasets, integrates them with ETL workflows, and catalogs data for querying. Final insights are visualized in QuickSight dashboards.
Language: Python - Size: 177 MB - Last synced at: 25 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

jay-giametta/AWS-CUR-ResourceAnalyzer
Amazon QuickSight resources to be used along with CUDOS Cloud Intelligence Dashboards to analyze AWS Cost and Usage Report (CUR) Data Exports.
Size: 124 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

gautamgc17/YouTube-Data-Analytics-AWS-Pipeline
The projects aims to build a data engineering pipeline on AWS, for analysis of YouTube data based on video categories and trending metrics.
Language: Python - Size: 54.7 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Trups39/End-To-End-Data-Engineering-Youtube-Analysis-Pipeline
The aim of this project is to combine secure data management with insightful analysis of YouTube video categories and trends using an ETL pipeline.
Language: Python - Size: 69.3 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

mikan-senpai/sales-analysis-aws
A robust sales data analysis platform using AWS tools: Redshift for data warehousing, S3 for storage, and QuickSight for visualization.
Size: 38.8 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

marksjit/quicksight-first
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Size: 5.11 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ritikdhame/Automated-Telecom-Customer-Churn-Analysis
AWS Glue & Airflow automate weekly churn analysis pipeline (S3, Redshift) for telco (1M+ customers) with actionable Tableau dashboard (user segmentation, churn reasons, geographical distribution).
Language: Python - Size: 2.15 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

prayagnshah/End-to-End-Pipeline
Zillow Data Pipeline: Extracts data from Zillow, transfers it through AWS services, and performs analytics. Utilizes Python scripts, AWS Lambda, S3, Amazon RedShift, and QuickSight. Explore docs/images for architecture visuals.
Language: Python - Size: 727 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

prathyyyyy/Youtube-ETL-Pipeline-For-Data-Analysis
Youtube ETL pipeline Project Using Pyspark and AWS
Language: Python - Size: 7.81 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

mohammedfirdouss/aws-analytics-pipeline-viz
Utilizing AWS S3, Glue, Athena, and QuickSight for data exploration and visualization.
Language: Shell - Size: 1.94 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Akshay6045/Health-Informatics
Health Informatics. Developed ML predictive classification model with random forest giving accuracy of 72% and recall of 78% to predict patients diagnosed with Lung cancer, Breast Cancer, Opioids-overdose etc based on ICD-10 codes.
Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

imverma/DataEngineering-YouTube-Analysis-Project
An end-to-end solution for managing and analyzing YouTube video data from Kaggle, leveraging AWS services and visualized through Quicksight and Tableau
Language: Python - Size: 61.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Antonio-Borges-Rufino/Build-an-Analytical-Platform-for-eCommerce-using-AWS-Services
Neste projeto, usaremos um conjunto de dados de comércio eletrônico para simular os registros de compras do usuário, visualizações de produtos, histórico de carrinho e jornada do usuário na plataforma online para criar dois pipelines analíticos, Lote e Tempo Real.
Size: 256 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

dhvani-k/YouTrend_Insights_Analyzing_YouTube_Video_Landscape
An end-to-end solution for managing and analyzing YouTube video data from Kaggle, leveraging AWS services and visualized through Quicksight and Tableau
Language: Python - Size: 59.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mashiike/qsgpm
A commandline tool for management of QuickSight Group and CustomPermission
Language: Go - Size: 71.3 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

byungjun0689/aws-quicksight-hist-examples
AWS QuickSight(Amazon Self BI Solution), For sharing technical session and training repository
Size: 9.23 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

alanzhaonys/business-location-analysis
Find Your Perfect Business Location Using AWS QuickSight and CloudFormation
Language: Shell - Size: 5.85 MB - Last synced at: 11 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

umidmirzaev/spotify
A complete pipeline to pull data from Spotify's "Top Songs - Norway" via AWS Lambda.
Language: Jupyter Notebook - Size: 3.19 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

sagarlakshmipathy/self-service-reporting
With this self service reporting capability, QuickSight readers can now generate reports without elevating them to Authors.
Language: Python - Size: 53.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

sagarlakshmipathy/collaborative-authoring
This project lets users merge two analyses together and create a new analysis or even update the target analysis in place.
Language: Python - Size: 37.1 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

CrescentCloud/ETL-Operation_Glue_S3
Perform ETL operation with Glue and S3, Query with Athena, and Visualization using QuickSight
Size: 79.1 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

samgavinio/quicksight-embeds
Sample Quicksight dashboard embeddings
Language: CSS - Size: 20.5 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

fortyfortyy/NASDAQ-python-script
Script written in Python, takes BigMac index data from NASDAQ of all countries and sends to the Amazon S3 and visualise by QuickSight
Language: Python - Size: 8.79 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

desaikun1996/Youtube-Data-Preparation-and-Analysis
An end to end Data Engineering project demonstrating the complete flow of Data Gathering, Data Ingestion, dumping data into Data Lake using Data Pipeline, Data Processing, Data Lookup, Monitoring the data pipeline activities/logs and eventually Visualizing important insights from the final data. For the entire project, I will be making use of AWS services like S3, AWS Glue, AWS Lambda, Data Catalog, AWS Athena, AWS QuickSight, AWS CloudWatch.
Size: 2.93 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

WithDD97/Twitter-sentiment-analysis-Elon-Musk
Big data Text Classification: 4M records
Language: Jupyter Notebook - Size: 6.07 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

yunusulucay/eda-aws-super-heroes
EDA processes on Super Heroes data using AWS services. The processes implemented like querying, analyzing and visualizing.
Language: Jupyter Notebook - Size: 131 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

nisiddharth/QuickSight-content-mover
Helps copy AWS QuickSight Dataset, themes and Dashboard to different account
Language: Jupyter Notebook - Size: 3.91 KB - Last synced at: 1 day ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

jbernalvallejo/amazon-quicksight-lab-data-sample
Repository containing files in Apache Parquet format as a starting point for an Amazon Quicksight lab.
Size: 32.4 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

gregbkr/kinesis-analytics
Simple ReactJS voting app sending events --> Kinesis Firehose -> stored to S3 (parquet format) <-- indexed by Glue <-- queried by Athena & QuickSight dashboard (AWS, serverless, Terraform)
Language: HCL - Size: 1.99 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 1

juanlamadrid20/amazon-serverless-datalake-workshop Fork of aws-samples/amazon-serverless-datalake-workshop
A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.
Size: 68.7 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
