课程: Advanced AI Analytics on AWS: Amazon Bedrock, Q, SageMaker Data Wrangler, and QuickSight

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Leveraging AWS Data Wrangler for analytics

Leveraging AWS Data Wrangler for analytics

课程: Advanced AI Analytics on AWS: Amazon Bedrock, Q, SageMaker Data Wrangler, and QuickSight

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Leveraging AWS Data Wrangler for analytics

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- [Instructor] Think of AWS Data Wrangler as your home's central plumbing system. It's the essential infrastructure that enables all of the sophisticated data operations. Just like a modern plumbing system allows for a dishwasher, a washing machine and a smart sprinkler system to function, Data Wrangler enables the AWS services to work together. So if we look at some of the key elements here, we have the central hub; this is the Data Wrangler core. And inside of this circle here, we have what is effectively the main water tank of the data infrastructure. It centralizes all of the data movement and transformation operations, and it performs a consistent pressure or reliable performance across all the services. And you can see that it is constantly available, and it has a constant state of readiness. We also have the Boto3 interface here, and this is a main supply line. And this lets the main water in, in this case, this would be the main core communications of AWS, and so you can see…

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