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AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide - Second Edition

You're reading from AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide - Second Edition

Product type Book

Published in Feb 2024

Publisher Packt

ISBN-13 9781835082201

Pages 342 pages

Edition 2nd Edition

Languages

Concepts

Machine Learning

Authors (2):

Somanath Nanda

Weslley Moura

View More author details

Table of Contents (13) Chapters

Preface

1. Chapter 1: Machine Learning Fundamentals

2. Chapter 2: AWS Services for Data Storage

3. Chapter 3: AWS Services for Data Migration and Processing

4. Chapter 4: Data Preparation and Transformation

5. Chapter 5: Data Understanding and Visualization

6. Chapter 6: Applying Machine Learning Algorithms

7. Chapter 7: Evaluating and Optimizing Models

8. Chapter 8: AWS Application Services for AI/ML

9. Chapter 9: Amazon SageMaker Modeling

10. Chapter 10: Model Deployment

11. Chapter 11: Accessing the Online Practice Resources

12. Other Books You May Enjoy

Creating ETL jobs on AWS Glue

In a modern data pipeline, there are multiple stages, such as generating data, collecting data, storing data, performing ETL, analyzing, and visualizing. In this section, you will cover each of these at a high level and understand the extract, transform, load (ETL) process in depth:

Data can be generated from several devices, including mobile devices or IoT, weblogs, social media, transactional data, and online games.
This huge amount of generated data can be collected by using polling services, through API gateways integrated with AWS Lambda to collect the data, or via streams such as AWS Kinesis, AWS-managed Kafka, or Kinesis Firehose. If you have an on-premises database and you want to bring that data to AWS, then you would choose AWS DMS for that. You can sync your on-premises data to Amazon S3, Amazon EFS, or Amazon FSx via AWS DataSync. AWS Snowball is used to collect/transfer data into and out of AWS.
The next step involves storing...

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Authors (2)

Somanath Nanda

Somanath has 10 years of working experience in IT industry which includes Prod development, Devops, Design and architect products from end to end. He has also worked at AWS as a Big Data Engineer for about 2 years.

See other products by Somanath Nanda

Weslley Moura

Weslley Moura has been developing data products for the past decade. At his recent roles, he has been influencing data strategy and leading data teams into the urban logistics and blockchain industries.

See other products by Weslley Moura

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