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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

Part 3:AWS Data Management and Analysis

In this section, we’ll explore essential AWS services for effective data management and analysis. Chapter 5 introduces Amazon S3, revealing its potential as a robust storage and organization solution for your data. Chapter 6 dives into AWS Glue, demonstrating how this powerful ETL service automates data preparation and transformation workflows. Chapter 7 unveils Amazon Athena, a serverless query service enabling valuable insights through SQL queries directly on Amazon S3 data. Finally, Chapter 8 explores Amazon QuickSight, a fast BI service for creating interactive dashboards and visualizations to gain valuable insights from your data.

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Data Wrangling on AWS
Published in: Jul 2023 Publisher: Packt ISBN-13: 9781801810906
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