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.

Data Engineering pipeline hosted entirely in the AWS ecosystem utilizing DocumentDB as the database

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

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

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,

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.

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

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.

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.

Awesome list of AWS Honeycode platform

[PoC] Simple stack to create ETLs and Data Warehouses on AWS

(@czhc) Updated 2019 AWS summit workshop content