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Build and Deploy ML Models with Amazon Sagemaker

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Integration with other AWS services: SageMaker integrates seamlessly with other services, such as Amazon Simple Storage Service(S3) and Amazon Elastic Compute Cloud (EC2), making it easy to incorporate machine learning into existing workflow and infrastructure. This library provided by SageMaker is similar in usage to Apache Spark MLLib.

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20+ Data Engineering Projects for Beginners with Source Code

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Thus, as a learner, your goal should be to work on projects that help you explore structured and unstructured data in different formats. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. A data engineer interacts with this warehouse almost on an everyday basis.