Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Feb 2024
Publisher Packt
ISBN-13 9781835082201
Length 342 pages
Edition 2nd Edition
Languages
Tools
Arrow right icon
Authors (2):
Arrow left icon
Somanath Nanda Somanath Nanda
Author Profile Icon Somanath Nanda
Somanath Nanda
Weslley Moura Weslley Moura
Author Profile Icon Weslley Moura
Weslley Moura
Arrow right icon
View More author details
Toc

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

Processing real-time data using Kinesis Data Streams

Kinesis is Amazon’s streaming service and can be scaled based on requirements. It has a level of persistence that retains data for 24 hours by default or optionally up to 365 days. Kinesis Data Streams is used for large-scale data ingestion, analytics, and monitoring:

  • Kinesis streams can be ingested by multiple producers and multiple consumers can also read data from the streams. The following is an example to help you understand this. Suppose you have a producer ingesting data to a Kinesis stream and the default retention period is 24 hours, which means data ingested at 05:00:00 A.M. today will be available in the stream until 04:59:59 A.M. tomorrow. This data won’t be available beyond that point, and ideally, it should be consumed before it expires; otherwise, it can be stored somewhere if it’s critical. The retention period can be extended to a maximum of 365 days, at an extra cost.
  • Kinesis can...
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime