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Data Wrangling on AWS

You're reading from   Data Wrangling on AWS Clean and organize complex data for analysis

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Product type Paperback
Published in Jul 2023
Publisher Packt
ISBN-13 9781801810906
Length 420 pages
Edition 1st Edition
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Authors (3):
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Sankar M Sankar M
Author Profile Icon Sankar M
Sankar M
Navnit Shukla Navnit Shukla
Author Profile Icon Navnit Shukla
Navnit Shukla
Sam Palani Sam Palani
Author Profile Icon Sam Palani
Sam Palani
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1:Unleashing Data Wrangling with AWS
2. Chapter 1: Getting Started with Data Wrangling FREE CHAPTER 3. Part 2:Data Wrangling with AWS Tools
4. Chapter 2: Introduction to AWS Glue DataBrew 5. Chapter 3: Introducing AWS SDK for pandas 6. Chapter 4: Introduction to SageMaker Data Wrangler 7. Part 3:AWS Data Management and Analysis
8. Chapter 5: Working with Amazon S3 9. Chapter 6: Working with AWS Glue 10. Chapter 7: Working with Athena 11. Chapter 8: Working with QuickSight 12. Part 4:Advanced Data Manipulation and ML Data Optimization
13. Chapter 9: Building an End-to-End Data-Wrangling Pipeline with AWS SDK for Pandas 14. Chapter 10: Data Processing for Machine Learning with SageMaker Data Wrangler 15. Part 5:Ensuring Data Lake Security and Monitoring
16. Chapter 11: Data Lake Security and Monitoring 17. Index 18. 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.

This part has the following chapters:

  • Chapter 5, Working with Amazon S3
  • Chapter 6, Working with AWS Glue
  • Chapter 7, Working with Athena
  • Chapter 8, Working with QuickSight
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