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Data Wrangling on AWS Clean and Organize Complex Data for Analysis

You'll understand how to work with AWS Glue DataBrew, AWS data wrangler, and AWS Sagemaker. Next, you'll discover other AWS services like Amazon S3, Redshift, Athena, and Quicksight. Additionally, you'll explore advanced topics such as performing Pandas data operation with AWS data wr...

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Bibliographic Details
Main Author: Shukla, Navnit
Other Authors: M, Sankar, Palani, Sam
Format: eBook
Language:English
Published: Birmingham Packt Publishing, Limited 2023
Edition:1st edition
Subjects:
Web Services / Fast / (ocolc)fst01173242
Amazon Web Services (firm) / Http://id.loc.gov/authorities/names/no2015140713
Web Services / Http://id.loc.gov/authorities/subjects/sh2003001435
Electronic Data Processing / Http://id.loc.gov/authorities/subjects/sh85042288
Electronic Data Processing / Fast / (ocolc)fst00906956
Services Web
Amazon Web Services (firm) / Fast / (ocolc)fst01974501
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • Table of Contents Introduction to Data Wrangling on AWS Working with AWS GlueDataBrew Introducing AWS Data Wrangler Introducing Amazon SageMaker Data Wrangler Working with Amazon S3 Working with AWS Glue Working with Athena Working with Quicksight Perform Pandas operation with AWS Data Wrangler Optimizing ML data with AWS SageMaker Data Wrangler Security and Monitoring

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