aws-samples / aws-research-workshops
This repo provides a managed SageMaker jupyter notebook with a number of notebooks for hands on workshops in data lakes, AI/ML, Batch, IoT, and Genomics.
☆123Updated last month
Alternatives and similar repositories for aws-research-workshops:
Users that are interested in aws-research-workshops are comparing it to the libraries listed below
- Repository for AWS Glue Workshop☆31Updated 2 years ago
- As customers move from building data lakes and analytics on AWS to building machine learning solutions, one of their biggest challenges i…☆62Updated 6 years ago
- Open innovation with 60 minute cloud experiments on AWS☆87Updated 9 months ago
- This repository contains ready-to-use notebook examples for a wide variety of use cases in Amazon EMR Studio.☆50Updated last year
- A packaged Data Lake solution, that builds a highly functional Data Lake, with a data catalog queryable via Elasticsearch☆73Updated 4 years ago
- ☆88Updated last year
- ☆52Updated 7 years ago
- ☆158Updated 11 months ago
- Lab Instructions for Data Engineering Immersion Day☆183Updated this week
- ☆21Updated 6 years ago
- This solution helps you deploy ETL jobs on data lake using CDK Pipelines.☆67Updated 2 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆71Updated last year
- Orchestrating an Application Process with AWS Batch using AWS CloudFormation☆68Updated 10 months ago
- ☆73Updated last year
- This solution helps you deploy Data Lake Infrastructure on AWS using CDK Pipelines.☆94Updated 2 years ago
- ☆47Updated 11 months ago
- Data Lake as Code, featuring ChEMBL and OpenTargets☆169Updated last year
- amazon-sagemaker-cdk-examples uses AWS CDK to simplify common architectures in machine leaning operations using Sagemaker and other AWS s…☆68Updated 10 months ago
- A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight.☆158Updated 4 years ago
- AWS BikeNow Demo is a sample web application that demonstrates the breadth and depth of database, analytics, and AI/ML services on AWS.☆22Updated last year
- A collection of recommended practices to accelerate the building of secure data science environments in regulated environments.☆49Updated last year
- AWS Workshop for learning Amazon Sagemaker☆12Updated 3 years ago
- Replication utility for AWS Glue Data Catalog☆75Updated 6 months ago
- Bring your own data Labs: Build a serverless data pipeline based on your own data☆44Updated last year
- Example code for running Spark and Hive jobs on EMR Serverless.☆161Updated last month
- ☆88Updated 2 years ago
- ☆13Updated last year
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 2 years ago
- ☆67Updated 8 months ago
- Design pattern for orchestrating an incremental data ingestion pipeline using AWS Step Functions from an on premise location into an Amaz…☆28Updated 5 years ago