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Big Data on Kubernetes

You're reading from   Big Data on Kubernetes A practical guide to building efficient and scalable data solutions

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835462140
Length 296 pages
Edition 1st Edition
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Author (1):
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Neylson Crepalde Neylson Crepalde
Author Profile Icon Neylson Crepalde
Neylson Crepalde
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Docker and Kubernetes FREE CHAPTER
2. Chapter 1: Getting Started with Containers 3. Chapter 2: Kubernetes Architecture 4. Chapter 3: Getting Hands-On with Kubernetes 5. Part 2: Big Data Stack
6. Chapter 4: The Modern Data Stack 7. Chapter 5: Big Data Processing with Apache Spark 8. Chapter 6: Building Pipelines with Apache Airflow 9. Chapter 7: Apache Kafka for Real-Time Events and Data Ingestion 10. Part 3: Connecting It All Together
11. Chapter 8: Deploying the Big Data Stack on Kubernetes 12. Chapter 9: Data Consumption Layer 13. Chapter 10: Building a Big Data Pipeline on Kubernetes 14. Chapter 11: Generative AI on Kubernetes 15. Chapter 12: Where to Go from Here 16. Index 17. Other Books You May Enjoy

Using Amazon Bedrock to work with foundational models

Amazon Bedrock provides a suite of foundational models that can be used as building blocks for your generative AI applications. It’s important to understand the capabilities and intended use cases of each model to choose the right one for your application.

The available models in Amazon Bedrock include language models, computer vision models, and multimodal models. Language models excel at understanding and generating human-like text. They can be employed for tasks such as text summarization, question answering, and content generation. Computer vision models, on the other hand, are adept at analyzing and understanding visual data, making them ideal for applications such as image recognition, object detection, and scene understanding.

Multimodal models, as the name suggests, can handle multiple modalities simultaneously. This makes it suitable for tasks such as image captioning, visual question answering, and data chart...

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