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Data Wrangling on AWS

You're reading from  Data Wrangling on AWS

Product type Book
Published in Jul 2023
Publisher Packt
ISBN-13 9781801810906
Pages 420 pages
Edition 1st Edition
Languages
Authors (3):
Navnit Shukla Navnit Shukla
Profile icon Navnit Shukla
Sankar M Sankar M
Profile icon Sankar M
Sampat Palani Sampat Palani
Profile icon Sampat Palani
View More author details

Table of Contents (19) Chapters

Preface Part 1:Unleashing Data Wrangling with AWS
Chapter 1: Getting Started with Data Wrangling Part 2:Data Wrangling with AWS Tools
Chapter 2: Introduction to AWS Glue DataBrew Chapter 3: Introducing AWS SDK for pandas Chapter 4: Introduction to SageMaker Data Wrangler Part 3:AWS Data Management and Analysis
Chapter 5: Working with Amazon S3 Chapter 6: Working with AWS Glue Chapter 7: Working with Athena Chapter 8: Working with QuickSight Part 4:Advanced Data Manipulation and ML Data Optimization
Chapter 9: Building an End-to-End Data-Wrangling Pipeline with AWS SDK for Pandas Chapter 10: Data Processing for Machine Learning with SageMaker Data Wrangler Part 5:Ensuring Data Lake Security and Monitoring
Chapter 11: Data Lake Security and Monitoring Index Other Books You May Enjoy

Data analysis

Closely related to generating insights on data and quality is the ability to quickly analyze the imported data. Data analysis is part of the data profiling phase and lets you get a better understanding of the data before you can move to processing your data for ML. SageMaker Data Wrangler includes built-in analyses that help you generate visualizations and data analyses in a few clicks. In addition, you can also create your own custom analysis using custom code. Using data visualizations, you can get a quick overview of your entire dataset. It provides an accessible way to see and understand trends, outliers, and patterns in data. Data Wrangler provides out-of-the-box analysis tools, including histograms and scatter plots. You can create these visualizations with a few clicks and customize them with your own code. In addition to the visualizations, under analysis, you can also create table summaries. Table summaries enable data practitioners to quickly summarize your...

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