quicksight

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

QuickSight artifacts with CDK, CodePipeline, CLI scripts

Terraform module for creating Cost and Usage Reports complete with Glue and Athena to make CUR data available to e.g. QuickSight.

A comprehensive AWS multi-account observability platform that aggregates, processes, and visualizes cloud infrastructure data across multiple AWS accounts. Built with serverless architecture using AWS Lambda, Aurora PostgreSQL Serverless v2, and designed for enterprise-scale monitoring with 15+ AWS service integrations, advanced security analytics,

An AWS Data Engineering End-to-End Project (Glue, Lambda, Kinesis, Redshift, QuickSight, Athena, EC2, S3)

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.

Example how to Analyze DynamoDB data with Athena in different ways created with AWS CDK

AWS Quicksight Asset as a bundle. This repo contains python scripts to perform migration. Import and export of assets.

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

Building and executing end-to-end ELT pipeline and driving analytics using Amazon Redshift as the data warehouse solution.

Infrastructure-as-Code data pipeline for collecting and streaming system metrics to AWS S3 via Kinesis Firehose with real-time transformation

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

End-to-end Bitcoin analytics and ML pipeline on AWS. Ingests BTC/USD OHLCV (1m) to S3, converts to partitioned Parquet for Athena, validates data, trains a Random Forest volatility model with SageMaker, and serves predictions via a managed endpoint. Dashboards in QuickSight.

A last minute revision cheat sheet for all aws data analytics services

Python script to automatically register Quicksight users based on a configuration file.

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.