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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
Languages
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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

Who this book is for

Data Wrangling on AWS is designed for a wide range of individuals who are interested in mastering the art of data wrangling and leveraging the power of AWS for efficient and effective data manipulation and preparation. The book caters to the following audience:

  • Data Professionals: Data engineers, data analysts, and data scientists who work with large and complex datasets and want to enhance their data-wrangling skills on the AWS platform
  • AWS Users: Individuals who are already familiar with AWS and want to explore the specific services and tools available for data wrangling
  • Business Analysts: Professionals involved in data-driven decision-making and analysis who need to acquire data-wrangling skills to derive valuable insights from their data
  • IT Professionals: Technology enthusiasts and IT practitioners who want to expand their knowledge of data wrangling on the AWS platform

While prior experience with data wrangling or AWS is beneficial, the book provides a solid foundation for beginners and gradually progresses to more advanced topics. Familiarity with basic programming concepts and SQL would be advantageous but is not mandatory. The book combines theoretical explanations with practical examples and hands-on exercises, making it accessible to individuals with different backgrounds and skill levels.

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