Data Pipelines with Apache Airflow.

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Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines. You'll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. Part reference and part tutorial, this practica...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Ruiter, Julian de
Otros Autores: Harenslak, Bas
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : Simon & Schuster : Manning, 2021.
Temas:
Data mining.
Cloud computing.
Programming languages (Electronic computers)
Python (Computer program language)
Big data.
Machine learning.
Electronic data processing.
Information storage and retrieval systems > Scalability.
Application program interfaces (Computer software)
Data Mining
Exploration de données (Informatique)
Infonuagique.
Python (Langage de programmation)
Données volumineuses.
Apprentissage automatique.
Interfaces de programmation d'applications.
APIs (interfaces)
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Data Pipelines with Apache Airflow teaches you how to build and maintain effective data pipelines. You'll explore the most common usage patterns, including aggregating multiple data sources, connecting to and from data lakes, and cloud deployment. Part reference and part tutorial, this practical guide covers every aspect of the directed acyclic graphs (DAGs) that power Airflow, and how to customize them for your pipeline's needs.
Descripción Física:1 online resource
ISBN:9781638356837
1638356831

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