Category: Analytics

Connect, discover, and govern data across silos with HAQM SageMaker Lakehouse’s new data catalog and permissions capabilities, enabling centralized access and fine-grained controls.

Simplify data replication and ingestion from applications such as Salesforce, SAP, ServiceNow, and Zendesk, to HAQM SageMaker Lakehouse and HAQM Redshift.

Unifying data silos, HAQM SageMaker Lakehouse seamlessly integrates S3 data lakes and Redshift warehouses, enabling unified analytics and AI/ML on a single data copy through open Apache Iceberg APIs and fine-grained access controls.

Effortlessly analyze operational data in HAQM SageMaker Lakehouse, freeing developers from building custom pipelines and enabling seamless insights extraction.

Manage data and AI assets through a unified catalog, granular access controls, and a consistent policy enforcement. Establish trust via automation – boost productivity and innovation for data teams.

Realize visual traceability of data origins, transformations, and usage – bolstering trust, governance, and discoverability for strategic data-driven decisions.

Unify data engineering, analytics, and generative AI in a streamlined studio with enhanced capabilities of HAQM SageMaker.

With expanded data sources, AWS Clean Rooms helps customers securely collaborate with their partners’ data across clouds, eliminating data movement, safeguarding sensitive information, promoting data freshness, and streamlining cross-company insights.