Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks | Amazon Web Services
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Machine Learning Service - Free Amazon SageMaker AI - AWS
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934 reactions · 19 shares | Tear down inefficient data pipelines & build anew. ️☁️ Amazon SageMaker leverages powerful SQL capabilities from Amazon Redshift to analyze your unified data enabling near real time analytics to accelerate decision-making without building complex data pipelines. Unclog your data flow & let insights pour in. ️ https://go.aws/3Bitq8d | Amazon Web Services | Facebook
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1.4K reactions · 24 shares | Unlock the power of your data with a unified data & AI platform. ☁️ Introducing the next generation of Amazon SageMaker, a unified data & AI platform optimized for collaboration within teams to scale your analytics & AI initiatives. Pair widely adopted ML services with the most comprehensive set of analytic capabilities for enhanced, data-driven innovation. ️ https://go.aws/49iZwxc | Amazon Web Services | Facebook
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Fragmented workflows? Reassemble the collaborative big picture. 🧩☁️💻 Now in preview, Amazon SageMaker Unified Studio offers an integrated experience to use all your data & tools for analytics & AI. With the ability to build from a single data & AI development environment, the collaborative puzzle clicks into place. 🖇️ https://go.aws/4ghFrcU | Amazon Web Services
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