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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

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Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781835082201
Length 342 pages
Edition 2nd Edition
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Authors (2):
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Somanath Nanda Somanath Nanda
Author Profile Icon Somanath Nanda
Somanath Nanda
Weslley Moura Weslley Moura
Author Profile Icon Weslley Moura
Weslley Moura
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Table of Contents (13) Chapters Close

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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