Nyd den ubegrænsede adgang til tusindvis af spændende e- og lydbøger - helt gratis
Fakta
Amazon Redshift Serverless enables organizations to run petabyte-scale cloud data warehouses quickly and in a cost-effective way, enabling data science professionals to efficiently deploy cloud data warehouses and leverage easy-to-use tools to train models and run predictions. This practical guide will help developers and data professionals working with Amazon Redshift data warehouses to put their SQL knowledge to work for training and deploying machine learning models.
The book begins by helping you to explore the inner workings of Redshift Serverless as well as the foundations of data analytics and types of data machine learning. With the help of step-by-step explanations of essential concepts and practical examples, you’ll then learn to build your own classification and regression models. As you advance, you’ll find out how to deploy various types of machine learning projects using familiar SQL code, before delving into Redshift ML. In the concluding chapters, you’ll discover best practices for implementing serverless architecture with Redshift.
By the end of this book, you’ll be able to configure and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scale.
© 2023 Packt Publishing (E-bog): 9781804619698
Release date
E-bog: 30. august 2023
Tags
Over 600.000 titler
Download og nyd titler offline
Eksklusive titler + Mofibo Originals
Børnevenligt miljø (Kids Mode)
Det er nemt at opsige når som helst
For dig som vil prøve Mofibo.
1 konto
20 timer/måned
Eksklusivt indhold hver uge
Fri lytning til podcasts
Gem ubrugt tid
Ingen binding
For dig som lytter og læser ofte.
1 konto
100 timer/måned
Eksklusivt indhold hver uge
Fri lytning til podcasts
Ingen binding
For dig som lytter og læser ubegrænset.
1 konto
Ubegrænset adgang
Eksklusivt indhold hver uge
Fri lytning til podcasts
Ingen binding
For dig som ønsker at dele historier med familien.
2-6 konti
100 timer/måned pr. konto
Fri lytning til podcasts
Kun 39 kr. pr. ekstra konto
Ingen binding
2 konti
179 kr. /månedDansk
Danmark