quicksight-dashboard | Topic | Ecosyste.ms: Repos

Topic: "quicksight-dashboard"

gmournos/quicksight-as-code

QuickSight artifacts with CDK, CodePipeline, CLI scripts

Language: TypeScript - Size: 78.1 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 19 - Forks: 4

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: about 1 year ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 2

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: HCL - Size: 9.59 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 10 - Forks: 4

karenwky/aws-project-nextwork

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

Size: 3.95 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

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: HTML - Size: 66.4 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

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

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: Python - Size: 983 KB - Last synced at: about 2 years ago - Pushed at: about 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: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

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: Python - Size: 21.7 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

mboisnard/aws-quicksight-cognito

Display embedded quicksight dashboard using Cognito connected user

Language: JavaScript - Size: 949 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

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.

Size: 1.48 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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: Python - Size: 4.53 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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.

Size: 5.74 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

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: Python - Size: 66.4 KB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

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: Python - Size: 494 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

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