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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

Preface

Welcome to the world of Data Wrangling on AWS! In this comprehensive book, we will explore the exciting field of data wrangling and uncover the immense potential of leveraging Amazon Web Services (AWS) for efficient and effective data manipulation and preparation. Whether you are a data professional, a data scientist, or someone interested in harnessing the power of data, this book will provide you with the knowledge and tools to excel in the realm of data wrangling on the AWS platform.

Data wrangling, also known as data preparation or data munging, is a critical step in the data analysis process. It involves transforming raw data into a clean, structured format that is ready for analysis. With the exponential growth of data and the increasing need for data-driven decision-making, mastering the art of data wrangling has become essential for extracting valuable insights from vast and complex datasets.

In this book, we will guide you through a series of chapters, each focusing on a specific aspect of data wrangling on AWS. We will explore various AWS services and tools that empower you to efficiently manipulate, transform, and prepare your data for analysis. From AWS Glue and Athena to SageMaker Data Wrangler and QuickSight, we will delve into the powerful capabilities of these services and uncover their potential for unlocking valuable insights from your data.

Throughout the chapters, you will learn how to leverage AWS’s cloud infrastructure and robust data processing capabilities to streamline your data-wrangling workflows. You will discover practical techniques, best practices, and hands-on examples that will equip you with the skills to tackle real-world data challenges and extract meaningful information from your datasets.

So, whether you are just starting your journey in data wrangling or looking to expand your knowledge in the AWS ecosystem, this book is your comprehensive guide to mastering data wrangling on AWS. Get ready to unlock the power of data and unleash its full potential with the help of AWS’s cutting-edge technologies and tools.

Let’s dive in and embark on an exciting journey into the world of data wrangling on AWS!

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