Data Scientist explores Amazon SageMaker Data Wrangler

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Join our Data Scientist, Metin Alisho, as he explores Amazon SageMaker Data Wrangler with 5 easy to follow steps.

He looks at how to get setup with Data Wrangler, begin importing data, pre-analyse data sets, transform and post-analyse. We also look at exporting data ready for machine learning models via Data Wrangler and the Amazon SageMaker Studio.

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Video Navigation:

00:00 - Introduction by Metin Alisho
00:40 - Getting Started in Console
00:55 - Adding New User
02:00 - Select Data Flow
02:21 - Rename Data Flow
02:31 - Loading S3
03:40 - Engineering Steps in Pipeline
04:30 - First Data Analysis
06:10 - First Data Transformation
07:40 - Buildings Steps
07:54 - Adding New Transform
08:37 - Adding Third Transform
09:00 - Encoding Processes
17:50 - First Error Recovery
19:06 - Final Transformation Stage
19:45 - Further Analysis Types
22:30 - Ready for Machine Learning
22:45 - Exporting Data
23:32 - Closing Kernel
24:12 - Closing Statement

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can we load JSON format data into AWS Data wrangler

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