Airflow For Data Workflow Automation


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Airflow for Data Workflow Automation


Airflow for Data Workflow Automation

Author: Richard Johnson

language: en

Publisher: HiTeX Press

Release Date: 2025-05-22


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"Airflow for Data Workflow Automation" "Airflow for Data Workflow Automation" is a comprehensive guide designed for data engineers, architects, and platform specialists seeking to master the orchestration of robust, maintainable, and scalable data pipelines using Apache Airflow. Starting with the foundational principles of modern data workflow automation, the book meticulously explores key architecture concepts, the compelling rationale for orchestration tools, and the core terminology and patterns that underpin Airflow-powered systems. Readers will gain clarity on Airflow’s internal mechanics and understand how to leverage its capabilities to efficiently automate common as well as advanced data workflow tasks. Delving deeper, the book provides actionable insights into authoring, maintaining, and scaling Directed Acyclic Graphs (DAGs) within Airflow environments. It covers best practices in DAG design, dynamic workflow generation, advanced scheduling techniques, and robust testing methodologies. The coverage extends to a thorough exploration of operators, sensors, and Airflow’s extensibility for custom integrations and interoperability with external systems—ensuring reliability, idempotency, and efficiency across diverse data operations. Beyond core orchestration, the book addresses essential enterprise concerns, including security, governance, and observability, with practical guidance on authentication, secrets management, compliance, monitoring, and incident response. It offers proven strategies for cloud, hybrid, and containerized deployments, in addition to advanced topics such as plugin development, UI extension, and workflow versioning. Concluding with forward-looking use cases—ranging from MLOps and streaming pipelines to meta-workflows and community-driven innovation—this book equips professionals with the expertise to harness Airflow as a cornerstone of next-generation data infrastructure.

Alteryx Workflow Automation and Data Transformation


Alteryx Workflow Automation and Data Transformation

Author: Richard Johnson

language: en

Publisher: HiTeX Press

Release Date: 2025-06-03


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"Alteryx Workflow Automation and Data Transformation" "Alteryx Workflow Automation and Data Transformation" is an authoritative guide designed for data professionals seeking to architect, optimize, and govern powerful Alteryx solutions at scale. Spanning the entire Alteryx ecosystem—from core platform architecture, engine internals, and API integrations to advanced data preparation, workflow automation, and analytics integration—this comprehensive volume delivers a unified approach to building resilient and high-performance data environments. Readers are guided through configuring robust lifecycle management, managing enterprise-grade security and governance, and deploying dynamic transformation pipelines enabled by custom scripting and workflow macros. The book presents sophisticated techniques for ingesting, processing, and outputting data across varied sources, including structured, unstructured, and cloud-native environments. Detailed coverage of advanced data cleansing, parameterized workflows, error handling, and pipeline optimization positions practitioners to tackle complex transformation use cases with precision. Furthermore, the text explores intelligent automation and orchestration strategies—ranging from dependency management and distributed execution to CI/CD integration—ensuring end-to-end automation that is both scalable and reliable. Recognizing the demands of modern analytics, "Alteryx Workflow Automation and Data Transformation" delves into predictive modeling, real-time analytics, and seamless integration with leading data science toolkits. It also equips readers to build custom tools using Alteryx SDKs, develop reusable connectors, and contribute to the thriving Alteryx community. Through an emphasis on auditability, compliance, environment scalability, and emerging trends like AI-driven automation, this book serves as an essential resource for organizations pursuing agile, future-ready data transformation at enterprise scale.

Ultimate Apache Superset for Data Visualization and Analytics: Leverage Apache Superset to Create Interactive Dashboards and Master Modern Business Intelligence


Ultimate Apache Superset for Data Visualization and Analytics: Leverage Apache Superset to Create Interactive Dashboards and Master Modern Business Intelligence

Author: Bragadeesh Sundararajan

language: en

Publisher: Orange Education Pvt Limited

Release Date: 2025-04-07


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Apache Superset to Master Data Visualization and Build High-Impact BI Solutions Key Features● Learn to install, configure, and use Superset to create visualizations and build interactive dashboards.● Apply your learning to real-world data scenarios and business use cases, ensuring you can immediately apply these skills in your role.● Customize Superset with custom visualizations, integrate it with modern data pipelines, and learn how to deploy it in production environments. Book DescriptionApache Superset is a powerful open-source data visualization and business intelligence platform that enables professionals to create interactive dashboards effortlessly. With its user-friendly interface and broad compatibility with various data sources, Superset helps users uncover insights and make informed, data-driven decisions in real time. Ultimate Apache Superset for Data Visualization and Analytics offers a structured, hands-on approach to mastering Apache Superset. It begins with installation and configuration, guiding you through building your first visualization and dashboard. As you progress, you’ll explore advanced features such as SQL Lab, custom visualizations, and security management. The book also covers optimizing dashboards, integrating Superset with data pipelines, and deploying it in production environments. Each chapter includes practical examples, best practices, and real-world use cases to reinforce learning. By the end, you’ll have the expertise to build high-impact, interactive dashboards and confidently deploy Apache Superset in production. Whether you're a data analyst, engineer, or business professional, this book equips you with the skills to scale and customize Superset for your organization’s needs. Don't get left behind—unlock the full potential of Apache Superset and take your data visualization to the next level! What you will learn● Set up and configure Apache Superset for data visualization and BI● Design interactive dashboards and compelling data visualizations effortlessly● Use SQL Lab to query and explore datasets with precision● Develop custom visualizations and extend Superset with plugins● Implement role-based access control (RBAC) for secure data governance● Deploy, scale, and optimize Superset for enterprise-ready BI solutions