There are 4 repositories under quicksight topic.
Workshop to build voice enabled integration with data analytics
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
Terraform module for creating Cost and Usage Reports complete with Glue and Athena to make CUR data available to e.g. QuickSight.
QuickSight artifacts with CDK, CodePipeline, CLI scripts
Data Engineering pipeline hosted entirely in the AWS ecosystem utilizing DocumentDB as the database
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.
An AWS Data Engineering End-to-End Project (Glue, Lambda, Kinesis, Redshift, QuickSight, Athena, EC2, S3)
Example how to Analyze DynamoDB data with Athena in different ways created with AWS CDK
aws-quicksight-tool assists in the use of the AWS QuickSight CLI.
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.
AWS Serverless Analytics using Amazon S3, Athena, Glue, and QuickSight
(@czhc) Updated 2019 AWS summit workshop content
[PoC] Simple stack to create ETLs and Data Warehouses on AWS
End-to-end simple data analysis in AWS
AWS Quicksight Asset as a bundle. This repo contains python scripts to perform migration. Import and export of assets.
Building and executing end-to-end ELT pipeline and driving analytics using Amazon Redshift as the data warehouse solution.
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.
Python script to automatically register Quicksight users based on a configuration file.
Designed and executed a secure data pipeline for managing and analyzing semi-structured data
Event-Driven Python on AWS #CloudGuruChallenge
Awesome list of AWS Honeycode platform
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.
A last minute revision cheat sheet for all aws data analytics services
some helpful aws scripts
In this project I have used the Trending YouTube Video Statistics data from Kaggle to analyze and prepare it for usage.
AWS based tool to analyse the spread of misinformation on Twitter.
A set of Vue3 component wrappers for the amazon-quicksight-embedding-sdk
This is an AWS workshop that I run on my own AWS account.
QuickSight codes related, specially, with analytics issues
Display embedded quicksight dashboard using Cognito connected user
ETL Pipeline with Google Colab, AWS & Python
This project lets users merge two analyses together and create a new analysis or even update the target analysis in place.
This project helps admins to migrate QuickSight dashboards from one account to another through Continuous Deploy process
With this self service reporting capability, QuickSight readers can now generate reports without elevating them to Authors.