Data Pipeline Automation Handbook
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Data Pipeline Automation Handbook
Author: Newman Chandler
language: en
Publisher: Independently Published
Release Date: 2025-07-03
Data Pipeline Automation Handbook: Expert Strategies for Scheduling, Monitoring, and Optimizing with Airflow & Mage Are you wrestling with fragile data workflows that falter under load? Do you long for bullet-proof pipelines that run on autopilot-scaling effortlessly and alerting you before issues arise? Data Pipeline Automation Handbook delivers expert strategies for building, scheduling, monitoring, and optimizing data pipelines with Apache Airflow and Mage. This no-nonsense guide shows you how to harness Airflow's enterprise-grade orchestration alongside Mage's modular, cache-aware blocks to create workflows that are both powerful and easy to maintain. Inside, you'll learn how to: Design reliable DAGs and event-driven Mage pipelines for any use case-batch ETL, real-time streaming, or machine-learning orchestration. Implement robust scheduling and sensor patterns in Airflow to trigger jobs on time and guard against missed runs. Configure Mage's runtime variables and webhooks for responsive, parameterized pipelines. Monitor performance with structured JSON logs, StatsD metrics, and integrations for Prometheus or Datadog-catching regressions before SLAs slip. Scale your infrastructure on Kubernetes, tune parallelism and pools, and leverage caching to eliminate unnecessary work. Secure your environment with Vault or Kubernetes Secrets, enforce RBAC, and automate credential rotation for compliance. Automate deployments via GitOps with Terraform and Helm, plus set up CI/CD pipelines that validate, test, and promote changes without downtime. By the final chapter, you'll wield a comprehensive playbook-covering custom plugins, AI-assisted pipeline generation, incident response checklists, and best practices for testing, versioning, and continuous delivery. Ready to transform your data engineering practice? Order Data Pipeline Automation Handbook now and build pipelines that deliver insights reliably, at scale, and with confidence.
Process Automation Handbook
Author: Jonathan Love
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-12-22
This book distils into a single coherent handbook all the essentials of process automation at a depth sufficient for most practical purposes. The handbook focuses on the knowledge needed to cope with the vast majority of process control and automation situations. In doing so, a number of sensible balances have been carefully struck between breadth and depth, theory and practice, classical and modern, technology and technique, information and understanding. A thorough grounding is provided for every topic. No other book covers the gap between the theory and practice of control systems so comprehensively and at a level suitable for practicing engineers.
Nightwatch.js Automation Guide
"Nightwatch.js Automation Guide" The "Nightwatch.js Automation Guide" is a comprehensive resource for mastering end-to-end test automation with Nightwatch.js. Through meticulously structured chapters, the book presents a deep technical exploration of the framework's architecture, setup, and modern best practices. Whether you are new to Nightwatch.js or seeking advanced expertise, this guide demystifies core concepts such as configuration management, cross-environment execution, WebDriver protocol integration, and command-line tooling to set a solid foundation for robust automation. Building on fundamentals, the guide offers pragmatic insights into advanced scripting techniques, including asynchronous test management, custom assertions, and reusable design patterns like Page Object Model. Readers learn how to efficiently interact with complex, dynamic web and mobile interfaces through sophisticated selector strategies, handle DOM challenges, automate intricate user actions, manage browser session state, interface with DevTools, and ensure test reliability through flake mitigation and powerful debugging methods. For teams seeking scale and actionable feedback, the book goes beyond test execution to detail enterprise-grade reporting, artifact management, failure root-cause analysis, and seamless integrations with CI/CD pipelines and defect tracking tools. A dedicated section on customizing and extending Nightwatch.js enables readers to leverage plugins, hybrid workflows, TypeScript integration, and migration strategies. The guide concludes with essential chapters on security, compliance, accessibility, and a forward-looking discussion on the role of AI and smart automation in shaping the future of quality engineering.