Integrate Amazon Sagemaker with Tiger Cloud - Tiger Data

Amazon SageMaker AI is a fully managed machine learning (ML) service. With SageMaker AI, data scientists and developers can quickly and confidently build, train, and deploy ML models into a production-ready hosted environment. This page shows you how to integrate Amazon Sagemaker with a Tiger Cloud service.

Prerequisites

To follow the steps on this page:

Create a target Tiger Cloud service with time-series and analytics enabled. You need your connection details.

Set up an AWS Account

Prepare your Tiger Cloud service to ingest data from SageMaker

Create a table in Tiger Cloud service to store model predictions generated by SageMaker.

Create the code to inject data into a Tiger Cloud service

Now you can seamlessly integrate Amazon SageMaker with Tiger Cloud to store and analyze time-series data generated by machine learning models. You can also untegrate visualization tools like Grafana or Tableau with Tiger Cloud to create real-time dashboards of your model predictions.