quicksight-dashboard

There are 27 repositories under quicksight-dashboard topic.

  • gmournos/quicksight-as-code

    QuickSight artifacts with CDK, CodePipeline, CLI scripts

    Language:TypeScript28134

  • aws-samples/aws-data-pipelines-for-azure-storage

    Copy data from Azure Blob Storage to Amazon S3 using code. View Azure costs using Amazon QuickSight

    Language:HCL16535

  • 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 Notebook11102

  • abrook7/ETL_Project

    Airflow orchestrated ETL (running in docker containers) that pulls batch data from an API to a local Postgres database, loads to AWS S3/Redshift provisioned by Terraform, and visualized in Quicksight.

    Language:Python2220

  • Sigrid242/Data-Analysis-using-AWS-services-Athena-Glue-S3-IAM-Quicksight

    End-to-end simple data analysis in AWS

    2102

  • venkateshkannayiram/Realtime_bigdata_analysis-with-AWS

    The project aims to develop a real-time analysis system using Apache Kafka and Apache Spark with cloud-based architecture.The system will collect real-time data and stream the data into Kafka. Apache Spark will then be used to process and analyze the data in real-time.The processed data will be visualized using appropriate visualizations and graphs

    Language:Python2102

  • Ansuman21/Road-Safety-Insights-Montgomery-County

    This project outlines the final project requirements for Information Architectures, focusing on group assignments, scoring criteria, topic selection, core requirements, and project components such as design, development, visualization, and executive presentation.

    Language:HTML110

  • Edyarich/russia-historical-climate

    An end-to-end AWS data engineering pipeline for processing, and visualizing historical climate data for Russia.

    Language:HCL1

  • karenwky/aws-project-nextwork

    full archive for NextWork AWS projects (PDF documentation, LinkedIn post, Tutorial link)

    1100

  • MariaGiuliaMartins/QuickSightCodes

    QuickSight codes related, specially, with analytics issues

    Language:Python110

  • mboisnard/aws-quicksight-cognito

    Display embedded quicksight dashboard using Cognito connected user

    Language:JavaScript1201

  • MisssssLegendary/Twitter_Sentiment_Analysis

    Conducted real-time Twitter sentiment analysis using Spark, S3, VADER, Athena, Amazon Quicksight processing over 113,000 tweets for insights and create dashboards for visualization.

    Language:Jupyter Notebook1201

  • nnvij/Twitter-Sentiment-Analysis-BigData

    Riptwitter was trending on twitter when Elon Musk took charge. Lets collect tweets under the hashtag using Twitter API and analyze the tweet sentiment

    Language:Jupyter Notebook1200

  • Subhajit-Chowdhury/Spotify-Data-to-Insights_Modern-AWS-Analytics-Pipeline

    Unlocking Spotify insights with an AWS data pipeline: S3 data lake -> Glue ETL-> Athena queries -> QuickSight Dashboard

    Language:Python1

  • bhavanachitragar/Superstore-Data-Analysis-using-AWS

    This project builds a pipeline to analyze Superstore sales data using the power of AWS. It transforms the data to make it ready for exploration. Querying the transformed data using SQL queries to uncover trends and patterns. Analyzing results and creates easy-to-understand visualizations, providing clear insights into Superstore sales performance.

    0100

  • bhavanachitragar/zillow-data-analytics

    A Python script extracts data from Zillow and stores it in an initial S3 bucket. Then, Lambda functions handle the flow: copying the data to a processing bucket and transforming it from JSON to CSV format. The final CSV data resides in another S3 bucket, ready to be loaded into Amazon Redshift for in-depth analysis. QuickSight for visualizations

    Language:Python0100

  • himalayasharma/adidas-sales-dashboard

    AWS QuickSight BI Dashboard

    0100

  • gachokahassan/Visualize-Relational-Database

    This project demonstrates the process of setting up and visualizing a relational database using Amazon RDS and Amazon QuickSight. The primary goal was to create a secure MySQL database, connect it to QuickSight, and produce interactive dashboards for actionable insights.

    10

  • heitorkobayashi/action-movies-tmdb-analysis

    Análise das relações entre orçamento, popularidade e qualidade em filmes de ação, utilizando dados do TMDB e ferramentas da AWS.

    Language:Python

  • Kaushik-Puttaswamy/Crypto-Data-Processing-and-Analysis-Pipeline

    This project processes real-time cryptocurrency transactions using AWS Glue, Kinesis, DynamoDB, and Apache Hudi for ETL and analytics. The data is analyzed with Athena and visualized in QuickSight for insights.

    Language:Python10

  • mihir-robotics/aws-yahoo-finance-etl-pipeline

    ELT (Extract, Load, Transform) pipeline that fetches stock data from Yahoo Finance, stores it in an S3 bucket, and then loads it into an Redshift Serverless table

    Language:Python

  • nisiddharth/QuickSight-content-mover

    Helps copy AWS QuickSight Dataset, themes and Dashboard to different account

    Language:Jupyter Notebook20

  • Preet-Tomar/RDS-QuickSight

    Integrated AWS RDS database with MySQL Workbench and visualising the data using AWS QuickSight

  • pyaesoekyaw/dynamodb-quicksigth-project

    Coaching Platform analysis by Quicksight

  • sumit-sinha9/Superstore-Data-Analysis-using-AWS

    This project builds a pipeline to analyze Superstore sales data using the power of AWS. It transforms the data to make it ready for exploration. Querying the transformed data using SQL queries to uncover trends and patterns. Analyzing results and creates easy-to-understand visualizations, providing clear insights into Superstore sales performance.

  • sumit-sinha9/Zillow-Data-Analytics-using-AWS

    A Python script extracts data from Zillow and stores it in an initial S3 bucket. Then, Lambda functions handle the flow: copying the data to a processing bucket and transforming it from JSON to CSV format. The final CSV data resides in another S3 bucket, ready to be loaded into Amazon Redshift for in-depth analysis. QuickSight for visualizations

    Language:Python

  • UdbhavSrivastava/Youtube-Analysis-Piepline

    This AWS-based data pipeline manages data from storage in S3 data lakes, through transformation with AWS Glue and Lambda, to refined storage in separate S3 repositories. Using Athena for SQL querying and QuickSight for interactive dashboards, this solution optimizes data processing and visualization, facilitating informed decision-making and insigh

    Language:Python20