Data Wrangling on AWS

Table of Contents

Preface

Part 1: Unleashing Data Wrangling with AWS

1

Getting Started with Data Wrangling

Introducing data wrangling

The 80-20 rule of data analysis

Advantages of data wrangling

The steps involved in data wrangling

Data discovery

Data structuring

Data cleaning

Data enrichment

Data validation

Data publishing

Best practices for data wrangling

Identifying the business use case

Identifying the data source and bringing the right data

Identifying your audience

Options available for data wrangling on AWS

AWS Glue DataBrew

SageMaker Data Wrangler

AWS SDK for pandas

Summary

Part 2: Data Wrangling with AWS Tools

2

Introduction to AWS Glue DataBrew

Why AWS Glue DataBrew?

AWS Glue DataBrew’s basic building blocks

Getting started with AWS ...