Integrate Amazon Sagemaker with Tiger Cloud

Amazon SageMaker is a fully managed machine learning service. Integrate Amazon SageMaker with Tiger Cloud to store and analyze ML model 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 .

Prerequisites

To follow the steps on this page:

• Create a target with time-series and analytics enabled.

  You need your connection details.

• Set up an AWS Account

Prepare your to ingest data from SageMaker

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

Create the code to inject data into a

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