Lenses.io for Data Streaming Platforms (eBook, ePUB)
The Complete Guide for Developers and Engineers
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"Lenses.io for Data Streaming Platforms" "Lenses.io for Data Streaming Platforms" is a comprehensive guide that explores the pivotal role of Lenses.io within the modern data streaming landscape. This book provides both a historical context and a forward-looking analysis of real-time data streaming, positioning Lenses.io alongside industry leaders such as Apache Kafka, Pulsar, and Flink. Through practical scenarios and business applications, readers discover how Lenses.io streamlines operational workflows, bolsters compliance, and enables regulatory adherence for enterprises deploying robust st...
"Lenses.io for Data Streaming Platforms" "Lenses.io for Data Streaming Platforms" is a comprehensive guide that explores the pivotal role of Lenses.io within the modern data streaming landscape. This book provides both a historical context and a forward-looking analysis of real-time data streaming, positioning Lenses.io alongside industry leaders such as Apache Kafka, Pulsar, and Flink. Through practical scenarios and business applications, readers discover how Lenses.io streamlines operational workflows, bolsters compliance, and enables regulatory adherence for enterprises deploying robust streaming infrastructures. Delving deep into architecture, deployment strategies, and lifecycle management, the book uncovers the modular design and extensibility of Lenses.io. It offers detailed guidance on installation, Kubernetes-native deployment, and resilient cluster management, highlighting best practices for scaling, high availability, and integration with diverse backends and stream infrastructure. Readers learn to master end-to-end stream governance-including automated onboarding, retention policies, schema evolution, quality validation, and lineage visualization-laying the groundwork for secure, observable, and high-performing data pipelines. Advanced chapters showcase Lenses SQL for real-time analytics, complex event processing, and streaming computation, equipping professionals with performance-tuning and debugging know-how for mission-critical systems. Extensive coverage of security, compliance, monitoring, extensibility, and real-world case studies positions the book as an essential resource for architects, engineers, and data leaders looking to harness cutting-edge data streaming capabilities. With practical patterns, reference architectures, and a forward view on industry trends, this book is an indispensable companion on the journey to next-generation data streaming excellence.
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