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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

Step 1 – logging in to SageMaker Studio

In this section, we will cover the steps to log in and navigate inside the AWS console and SageMaker. If you are already familiar with using SageMaker, you can skip this section and move on directly to the next one.

After you have created your account and set up a SageMaker Studio domain and created a user, as covered in Chapter 4, you can log in to the AWS console and choose SageMaker. You can either navigate to SageMaker in the All Services section under Machine Learning or start typing SageMaker in the search box at the top of the AWS console.

Figure 10.1: AWS console – SageMaker

Figure 10.1: AWS console – SageMaker

Once you are on the SageMaker screen, you should see the domain you created in the prerequisite section in Chapter 4. Make sure that the status of the domain is InService before proceeding. If you do not see a domain at all, verify to make sure you are in the same region where you created your domain. Check and switch...

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