July 2024
Intermediate to advanced
296 pages
7h 4m
English
Overview
Big Data on Kubernetes is your comprehensive guide to leveraging Kubernetes for scalable and efficient big data solutions. You will learn key concepts of Kubernetes architecture and explore tools like Apache Spark, Airflow, and Kafka. Gain hands-on experience building complete data pipelines to tackle real-world data challenges.
What this Book will help me do
- Understand Kubernetes architecture and learn to deploy and manage clusters.
- Build and orchestrate big data pipelines using Spark, Airflow, and Kafka.
- Develop scalable and resilient data solutions with Docker and Kubernetes.
- Integrate and optimize data tools for real-time ingestion and processing.
- Apply concepts to hands-on projects addressing actual big data scenarios.
Author(s)
Neylson Crepalde is an experienced data specialist with extensive knowledge of Kubernetes and big data solutions. With deep practical experience, Neylson brings real-world insights to his writing. His approach emphasizes actionable guidance and relatable problem-solving with a strong foundation in scalable architecture.
Who is it for?
This book is ideal for data engineers, BI analysts, data team leaders, and tech managers familiar with Python, SQL, and YAML. Targeted at professionals seeking to develop or expand their expertise in scalable big data solutions, it provides practical insights into Docker, Kubernetes, and prominent big data tools.
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