From the course: Learning Amazon SageMaker AI
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Using data preparation tools - Amazon SageMaker Tutorial
From the course: Learning Amazon SageMaker AI
Using data preparation tools
- [Instructor] Welcome to Data Wrangler, where your raw traffic data gets the ultimate makeover. Preparing data manually can be time-consuming and error-prone, especially as your datasets grow larger. This is where SageMaker Data Wrangler comes in handy. It automates many of the repetitive steps, helping you speed up the data preparation process without sacrificing quality. For our smart city traffic management system in Dataville, we'll use SageMaker Data Wrangler to handle everything from visualizing traffic patterns to transforming variables for better model performance. Here's a quick overview of Data Wrangler's features. Data import. You can easily import data from various sources, such as Amazon S3, Athena, Redshift, or even local files. Data visualization. With just a few clicks, Data Wrangler allows you to create visualizations, like histograms, scatterplots, and box plots, to better understand your data distribution. Built-in transformations. Data Wrangler comes with a wide…
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