You're reading from Data Wrangling on AWS

Product typeBook

Published inJul 2023

PublisherPackt

ISBN-139781801810906

Edition1st Edition

Tools

AWS

Concepts

Data Analysis

Authors (3):

Navnit Shukla

Sankar M

Sampat Palani

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Technical requirements

If you wish to follow along, which I highly recommend, you will need an Amazon Web Services (AWS) account. If you do not have an existing account, you can create an AWS account under the Free Tier. The AWS Free Tier provides customers with the ability to explore and try out AWS services free of charge up to specified limits for each service. If your application use exceeds the Free Tier limits, you simply pay standard, pay-as-you-go service rates. In this chapter, we will get started by looking at how to access and get familiar with the SageMaker Data Wrangler user interface. As you follow along, you will use AWS Compute and also end up creating resources in your AWS account. This especially applies to the Training a machine learning model section of the chapter, which is both compute-intensive and creates an endpoint that you will have to delete. Please remember to clean up by deleting any unused resources. We will remind you again at the end of the chapter...

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Data Wrangling on AWS

Published in: Jul 2023Publisher: PacktISBN-13: 9781801810906

Authors (3)

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 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

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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