Klalena / AWS-Serverless-Data-Engineering-Pipeline
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.
☆19Updated 3 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
- ☆18Updated 3 years ago
- ☆17Updated 2 years ago
- ☆26Updated 2 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 3 years ago
- demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions☆49Updated 2 years ago
- Operations Research Algorithms☆17Updated 10 months 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…☆34Updated 4 years ago
- Amazon SageMaker Best Practices, published by Packt☆28Updated 2 years ago
- ☆19Updated 3 years ago
- Best practices for engineering ML pipelines.☆37Updated 2 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…☆9Updated 3 years ago
- An example MLFlow project☆49Updated 2 weeks 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
- Scaling Python Machine Learning☆45Updated last year
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆58Updated last year
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 2 weeks ago
- Scaling Machine Learning in Three Week course in a collaboration with O'Reilly following the guidance of Adi Polak's book - Scaling Machi…☆23Updated last year
- ☆16Updated 4 years ago
- PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.☆46Updated last year
- Instant search for and access to many datasets in Pyspark.☆34Updated 2 years ago
- ☆84Updated last year
- ☆21Updated last year
- 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 3 years ago
- [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide☆121Updated 2 weeks ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆44Updated 5 years ago
- Snowflake Guide: Building a Recommendation Engine Using Snowflake & Amazon SageMaker☆31Updated 3 years ago
- A deep dive into programmatically mastering AWS☆19Updated 2 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆22Updated 7 months ago
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…☆80Updated last year