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You're reading from  Data Wrangling on AWS

Product typeBook
Published inJul 2023
PublisherPackt
ISBN-139781801810906
Edition1st Edition
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Authors (3):
Navnit Shukla
Navnit Shukla
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Navnit Shukla

Navnit Shukla is an accomplished Senior Solution Architect with a specialization in AWS analytics. With an impressive career spanning 12 years, he has honed his expertise in databases and analytics, establishing himself as a trusted professional in the field. Currently based in Orange County, CA, Navnit's primary responsibility lies in assisting customers in building scalable, cost-effective, and secure data platforms on the AWS cloud.
Read more about Navnit Shukla

Sankar M
Sankar M
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Sankar M

Sankar Sundaram has been working in IT Industry since 2007, specializing in databases, data warehouses, analytics space for many years. As a specialized Data Architect, he helps customers build and modernize data architectures and help them build secure, scalable, and performant data lake, database, and data warehouse solutions. Prior to joining AWS, he has worked with multiple customers in implementing complex data architectures.
Read more about Sankar M

Sampat Palani
Sampat Palani
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Sampat Palani

Sam Palani has over 18+ years as developer, data engineer, data scientist, a startup cofounder and IT leader. He holds a master's in Business Administration with a dual specialization in Information Technology. His professional career spans across 5 countries across financial services, management consulting and the technology industries. He is currently Sr Leader for Machine Learning and AI at Amazon Web Services, where he is responsible for multiple lines of the business, product strategy and thought leadership. Sam is also a practicing data scientist, a writer with multiple publications, speaker at key industry conferences and an active open source contributor. Outside work, he loves hiking, photography, experimenting with food and reading.
Read more about Sampat Palani

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

Authors (3)

author image
Navnit Shukla

Navnit Shukla is an accomplished Senior Solution Architect with a specialization in AWS analytics. With an impressive career spanning 12 years, he has honed his expertise in databases and analytics, establishing himself as a trusted professional in the field. Currently based in Orange County, CA, Navnit's primary responsibility lies in assisting customers in building scalable, cost-effective, and secure data platforms on the AWS cloud.
Read more about Navnit Shukla

author image
Sankar M

Sankar Sundaram has been working in IT Industry since 2007, specializing in databases, data warehouses, analytics space for many years. As a specialized Data Architect, he helps customers build and modernize data architectures and help them build secure, scalable, and performant data lake, database, and data warehouse solutions. Prior to joining AWS, he has worked with multiple customers in implementing complex data architectures.
Read more about Sankar M

author image
Sampat Palani

Sam Palani has over 18+ years as developer, data engineer, data scientist, a startup cofounder and IT leader. He holds a master's in Business Administration with a dual specialization in Information Technology. His professional career spans across 5 countries across financial services, management consulting and the technology industries. He is currently Sr Leader for Machine Learning and AI at Amazon Web Services, where he is responsible for multiple lines of the business, product strategy and thought leadership. Sam is also a practicing data scientist, a writer with multiple publications, speaker at key industry conferences and an active open source contributor. Outside work, he loves hiking, photography, experimenting with food and reading.
Read more about Sampat Palani