ISBN: 9798294621322 - dataops with python & airflow: orchestrate automated workflows with full control: 8 (6 risultati)

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. DataOps With Python&Airflow Orchestrate Automated Workflows with Full ControlThis 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 tasksMaster 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 This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: New.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. DataOps With Python&Airflow Orchestrate Automated Workflows with Full ControlThis 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 tasksMaster 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 This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…