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Using Containers for Big Data and Machine Learning

September 15, 2021

Many startups that focus on data science and machine learning are deciding to build their own infrastructure, instead of using fully managed services, to maintain the flexibility and leverage the latest offering from the open source communities. We’ll share how AWS container services enables companies that rely on the data-processing engine Spark, the machine learning platform Kubeflow, the workflow management solution Airflow, and other specialized services.

Previous Video
Best Practices for Securing Containerized Environments
Best Practices for Securing Containerized Environments

Customers are often asking questions about: Are containers secure? Where do threats come from? And what are...

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Optimizing the Cost of Containers
Optimizing the Cost of Containers

Structured correctly, containerization is a streamlined way to scale your startup and a cost-efficient meth...