DataOps With Python & Airflow: Orchestrate Automated Workflows with Full Control - Couverture souple

Rodrigues, Diego

 
9798294621322: DataOps With Python & Airflow: Orchestrate Automated Workflows with Full Control
Couverture souple
ISBN 13 : 9798294621322
Editeur : Independently published, 2025

Synopsis

DataOps With Python&Airflow Orchestrate Automated Workflows with Full Control

This book is intended for students and data, DevOps, and engineering professionals seeking to master DataOps with a focus on automation and continuous integration in modern environments. Combining data engineering practices and scalable pipelines, it covers the practical application of Python and Apache Airflow in workflow orchestration, dependency control, automated deployments, and integration with leading market tools.

You will learn how to structure reproducible environments, connect multiple data sources, apply versioning to pipelines, and operate securely in the cloud.
Includes:
• DAG orchestration with Apache Airflow and Python
• Workflow deployment with Git, Docker, and Kubernetes
• Integration with SQL, NoSQL databases, and Data Lakes
• Monitoring with Grafana, Prometheus, and smart alerts
• Pipeline versioning with GitLab CI/CD and dbt
• Scalable execution in AWS, Azure, Google Cloud, and hybrid environments
• Security, governance, and automation of critical tasks

Master DataOps and accelerate your performance in data engineering with continuous integration, full automation, and auditable pipelines.

airflow, python, pipelines, continuous integration, data engineering, ci/cd, kubernetes, grafana, dbt, cloud computing

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
Independently published
Date d'édition
2025
Langue
anglais
ISBN 13 
9798294621322
Reliure
Broché
Nombre de pages
256
Éditeur
Smart Tech Content StudioD21
Coordonnées du fabricant
non disponible
Personne responsable
non disponible