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portada Xplenty Integration Patterns: Designing Robust Data Pipelines and System Connectivity
Formato
Libro Físico
Encuadernación
Tapa Blanda
ISBN13
9798175989237

Xplenty Integration Patterns: Designing Robust Data Pipelines and System Connectivity

Jackson, William M. (Autor) · Independently published · Tapa Blanda

Xplenty Integration Patterns: Designing Robust Data Pipelines and System Connectivity - Jackson, William M.

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Reseña del libro "Xplenty Integration Patterns: Designing Robust Data Pipelines and System Connectivity"

“Xplenty Integration Patterns: Designing Robust Data Pipelines and System Connectivity” presents a practical, architecture-focused guide to building resilient, scalable, and maintainable data integration solutions with Xplenty. It begins by framing the evolution of data integration from legacy ETL approaches to modern cloud-native patterns, showing how Xplenty fits into today’s broader ecosystem of batch, streaming, API-driven, and hybrid integration needs. Through this lens, the book explains how organizations can use Xplenty to move data efficiently across systems while aligning technical design with business objectives. The core of the book explores the platform’s architecture and the integration patterns that make it effective in real-world environments. Readers gain insight into pipeline design, connector usage, orchestration, deployment models, multi-tenant operation, parallel processing, observability, and change data capture. The book also addresses how to design for performance, reliability, extensibility, and governance, with practical guidance on data quality, lineage, security, auditing, and regulatory compliance. By combining conceptual clarity with implementation advice, it helps readers build pipelines that are not only functional, but also robust and easy to evolve. Beyond the platform itself, the book examines how Xplenty supports connectivity across diverse enterprise landscapes, including relational and NoSQL databases, SaaS applications, cloud services, event streams, APIs, and IoT environments. It offers best practices for operational excellence, including CI/CD automation, cost optimization, and DevOps-friendly workflow management, while also exploring emerging trends such as serverless integration, real-time processing, and AI-assisted data operations. Designed for data engineers, architects, and technology leaders, this book serves as a comprehensive reference for creating dependable integration patterns that scale with modern data demands.

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