Amazon Web Services839 тыс
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Опубликовано 18 мая 2026, 20:54
Amazon SageMaker notebook offers data and AI teams a high-performance, serverless programming environment for analytics and machine learning jobs. It combines the simplicity of an interactive, browser-based interface with the scalability of Amazon Athena for Apache Spark, enabling data engineers, analysts, and data scientists to perform SQL queries, execute Python code, process large-scale data jobs, and create visualizations — all within a single workspace.
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Why AWS?
Amazon Web Services is the world’s most comprehensive and broadly adopted cloud, enabling customers to build anything they can imagine. We offer the greatest choice of innovative cloud capabilities and expertise, on the most extensive global infrastructure with industry-leading security, reliability, and performance.
#AWS #AmazonWebServices #CloudComputing
Subscribe to AWS: go.aws/subscribe
Create a free AWS account: go.aws/signup
Try AWS for free: go.aws/free
Connect with an expert: go.aws/contact
Explore more: go.aws/more
Next steps:
Explore on AWS in Analyst Research: go.aws/reports
Discover, deploy, and manage software that runs on AWS: go.aws/marketplace
Join the AWS Partner Network: go.aws/partners
Learn more on how Amazon builds and operates software: go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: go.aws/3lPaoPb
Why AWS?
Amazon Web Services is the world’s most comprehensive and broadly adopted cloud, enabling customers to build anything they can imagine. We offer the greatest choice of innovative cloud capabilities and expertise, on the most extensive global infrastructure with industry-leading security, reliability, and performance.
#AWS #AmazonWebServices #CloudComputing
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New tools, models, repos, and papers out of Microsoft Research are here. #ai #llm #github #agenticai























