Amazon SageMaker Unified Studio now supports Amazon OpenSearch as a data source, enabling you to query and analyze your search and log analytics data directly alongside your other data assets. With this new connection, you can combine operational search data in OpenSearch with data from sources like Amazon Redshift, Amazon S3, and relational databases – all within a single, governed environment.
This integration is particularly valuable when you need to correlate data across analytical and operational workloads. For example, you can join application logs and metrics stored in OpenSearch with transactional data to gain insights into system performance and user behavior. Data engineers and analysts can build data pipelines that bring together real-time search and analytics data with structured datasets, streamlining cross-source workflows without switching between tools. To get started, add an Amazon OpenSearch connection under your project’s data section. Your OpenSearch data now appears in the data explorer alongside your other project data. From there, you can query it directly using the query editor, explore it in notebooks, or incorporate it into a visual ETL job, all without leaving the studio.
Support for Amazon OpenSearch connections is available in all AWS Regions where Amazon SageMaker Unified Studio is available.
To get started, see connecting to a new data source in the Amazon SageMaker Unified Studio User Guide. For more information about Amazon OpenSearch Service, visit the Amazon OpenSearch Service page.
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Source: Amazon Web Services
