Klalena / AWS-Serverless-Data-Engineering-PipelineLinks
This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I recreated the below pipeline.
☆20Updated 4 years ago
Alternatives and similar repositories for AWS-Serverless-Data-Engineering-Pipeline
Users that are interested in AWS-Serverless-Data-Engineering-Pipeline are comparing it to the libraries listed below
Sorting:
- Deployment of ML models with Serverless APIs (AWS Lambda) and Docker☆25Updated 4 years ago
- Build and deploy a serverless data pipeline on AWS with no effort.☆111Updated 2 years ago
- ☆18Updated 3 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide☆122Updated 8 months ago
- Scaling Python Machine Learning☆50Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 8 months ago
- ☆66Updated 5 months ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆149Updated last year
- End to end MLRun demos☆93Updated last month
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- ☆21Updated 2 years ago
- ☆88Updated 2 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆39Updated 4 years ago
- An example MLFlow project☆49Updated 8 months ago
- Supporting content (slides and exercises) for the Pearson video series covering best practices for developing scalable applications with …☆52Updated 8 months ago
- Capturing model drift and handling its response - Example webinar☆108Updated 6 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆35Updated 5 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆62Updated last year
- ☆27Updated 3 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 6 years ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆23Updated last year
- Syllabus for Artificial Intelligence for Product Innovation Master of Engineering: https://ai.meng.duke.edu/degree☆32Updated 2 years ago
- Example MLOps using BentoML & mlFlow☆38Updated 4 years ago
- A tutorial that helps Big Data Engineers ramp up faster by getting familiar with PySpark dataframes and functions. It also covers topics …☆20Updated 3 years ago
- Operations Research Algorithms☆18Updated last year
- Instant search for and access to many datasets in Pyspark.☆34Updated 3 years ago
- In this project, we are going to use a random forest algorithm (or any other preferred algorithm) from scikit-learn library to help predi…☆10Updated 4 years ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆71Updated 4 months ago