Data-Engineering-Roadmap
Roadmap for Data Engineering (by ErdemOzgen)
mlops-v2
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform. (by Azure)
| Data-Engineering-Roadmap | mlops-v2 | |
|---|---|---|
| 1 | 3 | |
| 117 | 453 | |
| - | 4.0% | |
| 5.4 | 3.7 | |
| over 1 year ago | 23 days ago | |
| Java | Shell | |
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Data-Engineering-Roadmap
Posts with mentions or reviews of Data-Engineering-Roadmap.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-30.
mlops-v2
Posts with mentions or reviews of mlops-v2.
We have used some of these posts to build our list of alternatives
and similar projects.
- MLOps: Machine learning model management - Azure Machine Learning | Microsoft Learn
- Need help with Execute Python Script module in Azure ML Designer
-
Create a Managed ML Inference Endpoint and deployment using Terraform
I would create a second step or stage for deploying the endpoint. There is no benefit to try and force terraform to do something it wasn't designed for. You can run AZ CLI commands from terraform, but I don't have experience doing so. Check out this mlops accelerator - https://github.com/Azure/mlops-v2 You can see how they use multiple pipeline for setting up the infrastructure then training and deploying the model.
What are some alternatives?
When comparing Data-Engineering-Roadmap and mlops-v2 you can also consider the following projects:
knime-core - KNIME Analytics Platform
Time-Series-Library - A Library for Advanced Deep Time Series Models.
Data-Engineering-Projects - Personal Data Engineering Projects
MachineLearningNotebooks - Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
LiDAR-Guide - LiDAR Guide
azure - Azure-related repository
data-engineer-roadmap - Roadmap to becoming a data engineer in 2021
clearml - ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Cloud-Native-Guide - Cloud Native Guide
SynapseML - Simple and Distributed Machine Learning
Data-Engineering-Roadmap vs knime-core
mlops-v2 vs Time-Series-Library
Data-Engineering-Roadmap vs Data-Engineering-Projects
mlops-v2 vs MachineLearningNotebooks
Data-Engineering-Roadmap vs LiDAR-Guide
mlops-v2 vs azure
Data-Engineering-Roadmap vs data-engineer-roadmap
mlops-v2 vs clearml
Data-Engineering-Roadmap vs Cloud-Native-Guide
mlops-v2 vs SynapseML