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

You're reading from AWS Certified Machine Learning - Specialty (MLS-C01) Certification Guide The ultimate guide to passing the MLS-C01 exam on your first attempt

Product type Paperback

Published in Feb 2024

Publisher Packt

ISBN-13 9781835082201

Length 342 pages

Edition 2nd Edition

Languages

Python

Tools

AWS

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 FREE CHAPTER

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

Querying S3 data using Athena

Athena is a serverless service designed for querying data stored in S3. It is serverless because the client doesn’t manage the servers that are used for computation:

Athena uses a schema to present the results against a query on the data stored in S3. You define how (the way or the structure) you want your data to appear in the form of a schema and Athena reads the raw data from S3 to show the results as per the defined schema.
The output can be used by other services for visualization, storage, or various analytics purposes. The source data in S3 can be in any of the following structured, semi-structured, or unstructured data formats: XML, JSON, CSV/TSV, AVRO, Parquet, or ORC (as well as others). CloudTrail, ELB logs, and VPC flow logs can also be stored in S3 and analyzed by Athena.
This follows the schema-on-read technique. Unlike traditional techniques, tables are defined in advance in a data catalog, and the data’s structure...

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Authors (2)

Nanda

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 Nanda

Moura

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 Moura

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