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You're reading from  Serverless Machine Learning with Amazon Redshift ML

Product typeBook
Published inAug 2023
Reading LevelBeginner
PublisherPackt
ISBN-139781804619285
Edition1st Edition
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Authors (4):
Debu Panda
Debu Panda
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Debu Panda

Debu Panda, a Senior Manager, Product Management at AWS, is an industry leader in analytics, application platform, and database technologies, and has more than 25 years of experience in the IT world. Debu has published numerous articles on analytics, enterprise Java, and databases and has presented at multiple conferences such as re:Invent, Oracle Open World, and Java One. He is lead author of the EJB 3 in Action (Manning Publications 2007, 2014) and Middleware Management (Packt, 2009).
Read more about Debu Panda

Phil Bates
Phil Bates
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Phil Bates

Phil Bates is a Senior Analytics Specialist Solutions Architect at AWS. He has more than 25 years of experience implementing large-scale data warehouse solutions. He is passionate about helping customers through their cloud journey and leveraging the power of ML within their data warehouse.
Read more about Phil Bates

Bhanu Pittampally
Bhanu Pittampally
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Bhanu Pittampally

Bhanu Pittampally is Analytics Specialist Solutions Architect at Amazon Web Services. His background is in data and analytics and is in the field for over 16 years. He currently lives in Frisco, TX with his wife Kavitha and daughters Vibha and Medha.
Read more about Bhanu Pittampally

Sumeet Joshi
Sumeet Joshi
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Sumeet Joshi

Sumeet Joshi is an Analytics Specialist Solutions Architect based out of New York. He specializes in building large-scale data warehousing solutions. He has over 17 years of experience in the data warehousing and analytical space.
Read more about Sumeet Joshi

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Diving deep into the Redshift ML CREATE MODEL syntax

Since this is the first time you are going to use the CREATE MODEL syntax, let’s refresh the basic constructs of the command here.

Redshift ML provides the easy-to-use CREATE MODEL syntax to create ML models. In this section, we will focus on a simple form of the CREATE MODEL command. In later chapters, you will learn about other forms of creating model statements.

Simple CREATE MODEL is the most basic form of Redshift CREATE MODEL statement. It is geared toward the personas who are not yet ready to deal with all the intricacies of the machine learning process. This form of model creation is also used by experienced personas such as citizen data scientists for its simplicity in creating a machine learning model. Data cleaning is an essential step for any ML problem, otherwise, it follows the principle of garbage in, garbage out. Data cleaning still remains a necessary task, however, with Redshift ML data transformation...

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Serverless Machine Learning with Amazon Redshift ML
Published in: Aug 2023Publisher: PacktISBN-13: 9781804619285

Authors (4)

author image
Debu Panda

Debu Panda, a Senior Manager, Product Management at AWS, is an industry leader in analytics, application platform, and database technologies, and has more than 25 years of experience in the IT world. Debu has published numerous articles on analytics, enterprise Java, and databases and has presented at multiple conferences such as re:Invent, Oracle Open World, and Java One. He is lead author of the EJB 3 in Action (Manning Publications 2007, 2014) and Middleware Management (Packt, 2009).
Read more about Debu Panda

author image
Phil Bates

Phil Bates is a Senior Analytics Specialist Solutions Architect at AWS. He has more than 25 years of experience implementing large-scale data warehouse solutions. He is passionate about helping customers through their cloud journey and leveraging the power of ML within their data warehouse.
Read more about Phil Bates

author image
Bhanu Pittampally

Bhanu Pittampally is Analytics Specialist Solutions Architect at Amazon Web Services. His background is in data and analytics and is in the field for over 16 years. He currently lives in Frisco, TX with his wife Kavitha and daughters Vibha and Medha.
Read more about Bhanu Pittampally

author image
Sumeet Joshi

Sumeet Joshi is an Analytics Specialist Solutions Architect based out of New York. He specializes in building large-scale data warehousing solutions. He has over 17 years of experience in the data warehousing and analytical space.
Read more about Sumeet Joshi