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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

Deploying Elasticsearch in Kubernetes

While Trino provides a powerful SQL interface for querying structured data in your data lake, many modern applications also need to analyze semi-structured and unstructured data, such as logs, metrics, and text, in real time. For these types of use cases, Elasticsearch (or the ELK Stack, as it came to be known, referring to Elasticsearch, Logstash, and Kibana) provides a powerful solution.

Elasticsearch is an open source, distributed, RESTful search and analytics engine built on top of Apache Lucene. It is designed to store, search, and analyze large volumes of data quickly and in near real time.

At its core, Elasticsearch is a NoSQL database that uses JSON documents to represent data. It indexes all data in every field and uses advanced data structures and indexing techniques to make searches extremely fast.

How Elasticsearch stores, indexes and manages data

Data is stored in Elasticsearch in individual JSON documents. These documents...

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