Integrating Onehouse with the Amazon Sagemaker Machine Learning Ecosystem
Blog post from Onehouse
Onehouse provides a lakehouse-as-a-service solution that enhances machine learning (ML) capabilities by seamlessly integrating with major ecosystems like Amazon Sagemaker. This open and resource-efficient platform allows companies to transform their data lakes into fully managed lakehouses, optimizing data management services such as performance, ingestion, and quality. By using Apache Hudi technology, Onehouse facilitates interoperability and supports powerful querying through engines like Amazon Athena. In the context of Amazon Sagemaker, data scientists can leverage Onehouse to train and test ML models efficiently, using it as a centralized data store that supports continuous improvement and real-time data inflow. The integration between Onehouse and Sagemaker showcases how businesses can enhance their analytics workflows by creating a unified data lakehouse, thus optimizing costs and improving time-to-value for their ML projects.
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