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DataOps com Python & Airflow

Orquestre Fluxos Automatizados com Controle Total

Language PortuguesePortuguese
Book Paperback
Book DataOps com Python & Airflow StudioD21 Smart Tech Content
Libristo code: 50698027
Publishers Independently published, July 2025
DataOps com Python & Airflow Orquestre Fluxos Automatizados com Controle TotalEste livro é indicado... Full description
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DataOps com Python & Airflow Orquestre Fluxos Automatizados com Controle Total

Este livro é indicado para estudantes e profissionais de dados, DevOps e engenharia que desejam dominar DataOps com foco em automação e integração contínua em ambientes modernos. Combinando práticas de engenharia de dados e pipelines escaláveis, a obra cobre a aplicação prática de Python e Apache Airflow em orquestração de workflows, controle de dependências, deploys automatizados e integração com ferramentas líderes de mercado.

Você aprenderá a estruturar ambientes reprodutíveis, conectar múltiplas fontes de dados, aplicar versionamento em pipelines e operar com segurança em nuvem.

Inclui:

• Orquestração de DAGs com Apache Airflow e Python

• Deploy de workflows com Git, Docker e Kubernetes

• Integração com bancos SQL, NoSQL e Data Lakes

• Monitoramento com Grafana, Prometheus e alertas inteligentes

• Versionamento de pipelines com GitLab CI/CD e dbt

• Execução escalável em AWS, Azure, Google Cloud e ambientes híbridos

• Segurança, governança e automação de tarefas críticas

Domine DataOps e acelere sua atuação em engenharia de dados com integração contínua, automação completa e pipelines auditáveis.

airflow, python, pipelines, integração contínua, engenharia de dados, ci/cd, kubernetes, grafana, dbt, cloud computing

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About the book

Full name DataOps com Python & Airflow
Author StudioD21 Smart Tech Content, Diego Rodrigues
Language Portuguese
Binding Book - Paperback
Date of issue 2025
Number of pages 252
EAN 9798294431938
Libristo code 50698027
Publishers Independently published
Weight 343
Dimensions 152 x 229 x 15

Categories

Computing & Information Technology > Databases
Computing & Information Technology > Computer science
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