Scalable Data Pipelines for ML: Integrating Argo Workflows and dbt | Hauke Brammer

Join Hauke Brammer at MLcon Munich 2024 as he takes you through building scalable data pipelines for machine learning. In this session, you'll learn how to integrate Argo Workflows and dbt to create robust ELT pipelines that can handle the growing demands of your ML projects. Hauke will provide a detailed overview of ELT processes, focusing on how to scale these workflows effectively for large datasets. Whether you're looking to optimize your data infrastructure or improve the resilience and efficiency of your ML applications, this session is packed with actionable insights to help you elevate your machine learning initiatives.

📌 Key Highlights:
- Master the integration of Argo Workflows and dbt for scalable data pipelines.
- Learn best practices for handling expanding datasets in ML environments.
- Practical guidance on orchestrating and scaling data jobs efficiently.
- Enhance your data infrastructure to support robust machine learning projects.

🔗 More about MLcon: https://mlconference.ai/

Видео Scalable Data Pipelines for ML: Integrating Argo Workflows and dbt | Hauke Brammer канала MLCon | Machine Learning Conference