Mastering Trino on Kubernetes
Advanced Techniques for Scalable, Secure, and High-Performance Data Processing
Created by ChrisAre you ready to revolutionize your data processing capabilities? "Mastering Trino on Kubernetes" is your comprehensive guide to deploying, optimizing, and managing Trino database clusters in Kubernetes environments. This book dives deep into advanced techniques for achieving unparalleled scalability, security, and performance in your data infrastructure. You'll learn how to fine-tune Trino query optimization, implement robust autoscaling solutions, and leverage GitOps for streamlined deployments. Discover strategies for enhancing data security, building efficient CI/CD pipelines, and utilizing Prometheus for granular metrics collection. From mastering Kubernetes resource allocation to integrating Trino with Hive, S3, Kafka, and Redis, this book covers it all. You'll gain insights into custom connector development, resource group management, and advanced error handling techniques. Explore the intricacies of Trino's query planner, implement sophisticated access control mechanisms, and optimize load balancing for peak performance. Whether you're looking to implement TLS configuration, develop user-defined functions, or bridge Trino with TensorFlow for machine learning applications, this book provides the expert knowledge you need. With practical examples and in-depth explanations, you'll be equipped to tackle complex challenges in data processing and analytics using Trino and Kubernetes.
Est. Length
269 pages (14 chapters)
Language
English
Publication date
Mar 23, 2025
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