Amazon SageMaker
#178 · Level 3 · Modern architecture · Data and analyticsConcept
Section titled “Concept”Amazon SageMaker is AWS’s unified platform for data, analytics and AI — from data analysis to building models, all in one place. Its workspace is SageMaker Unified Studio, where SQL, data pipelines and machine learning can be done in the same environment. It has a lakehouse setup for using data from S3 and Redshift together. SageMaker Catalog is used to find data and control permissions. The part for building, training and deploying models is now called SageMaker AI.
Simple example
Section titled “Simple example”A big workshop where all the tools, from cutting wood to building and painting furniture, are under one roof.
Why it’s needed
Section titled “Why it’s needed”When the data team and the AI team use separate tools, time is wasted moving data back and forth.
Where it’s used
Section titled “Where it’s used”Finding data, SQL analysis, data pipelines and machine learning models in one environment.
Azure equivalent
Section titled “Azure equivalent”Microsoft Fabric / Azure Machine Learning
Learn more
Section titled “Learn more”For details and the latest information, see the official documentation: