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An integrated experience for all your data and AI with Amazon SageMaker Unified Studio (preview)
- Amazon SageMaker Unified Studio is an integrated development environment (IDE) for data, analytics, and AI.
- Organizations are building data-driven applications, but they require collaboration across teams and the integration of data, tools, and services.
- With SageMaker Unified Studio, organizations can adopt the best services for their use cases while empowering their data practitioners with a unified development experience.
- Users only need to learn SageMaker Unified Studio tools once and then they can use them across all services.
- The tools are integrated with Amazon Q, can quickly build, refine, and maintain applications with text-to-code capabilities.
- SageMaker Unified Studio tools offer a unified view of an application’s building blocks such as data, code, development artifacts, and compute resources across services to approved users.
- SageMaker Unified Studio automates and simplifies access management for different application blocks.
- You can ingests data to Amazon S3 and create a new table called venue_event_agg.
- SageMaker Unified Studio provides a unified JupyterLab experience across different languages, including SQL, PySpark, and Scala Spark.
- With SageMaker Unified Studio, data practitioners can access all the capabilities of AWS purpose-built analytics, AI/ML, and generative AI services from a single unified development experience.
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