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Serverless ETL and Analytics with AWS Glue
book

Serverless ETL and Analytics with AWS Glue

by Vishal Pathak, Subramanya Vajiraya, Noritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur
August 2022
Intermediate to advanced
434 pages
10h 34m
English
Packt Publishing
Content preview from Serverless ETL and Analytics with AWS Glue

Chapter 14: Machine Learning Integration

Machine learning (ML) is one of the cornerstones of today’s computing for any software-related company. ML models are capable of making predictions or deductions based on past experience, provided as training data. This enables a wide variety of applications with large benefits to any organization.

Because it relies on training data, ML is closely tied to data mining, data processing, and, in general, any kind of extract, transform, load (ETL) process. Training data must be properly cleaned, formatted, and classified before it can be fed to a model – a process that greatly affects the effectiveness of the model itself. Because of this, services such as AWS Glue offer ML-specific features and integrations, ...

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Publisher Resources

ISBN: 9781800564985Supplemental Content