60% OFF en Stock Limitado  Ver más

Enviar a
Quito, Pichincha
0
  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

Selecciona tu país

América

Europa

Resto del mundo

portada Pipeline Pro. Building Production ETL, Batch, and Streaming Data Pipelines with Python and Airflow (en Inglés)
Formato
Libro Físico
Año
2026
Idioma
Inglés
N° páginas
430
Encuadernación
Tapa Blanda
Dimensiones
22.9x15.2x2.2 cm
ISBN13
9798258834829

Pipeline Pro. Building Production ETL, Batch, and Streaming Data Pipelines with Python and Airflow (en Inglés)

Miguel Farmer (Autor) · Independently published · Tapa Blanda

Pipeline Pro. Building Production ETL, Batch, and Streaming Data Pipelines with Python and Airflow (en Inglés) - MIGUEL FARMER

Libro Nuevo Importado
Envío: 18 a 25 días háb.
$ 72.61$ 36.31
-50%
Costos de importación incluídos en el precio ✅
Libro Nuevo

Quedan 100 unidades

$ 36.31
Llega entre el 17 Sep y el 30 Sep a Quito, Pichincha. Seleccionar ubicación

Reseña del libro "Pipeline Pro. Building Production ETL, Batch, and Streaming Data Pipelines with Python and Airflow (en Inglés)"

Design, orchestrate, and scale reliable data pipelines for real world systems

Data is only valuable when it flows.

From ingestion to transformation and delivery, modern systems depend on pipelines that move data efficiently, reliably, and at scale.

"Pipeline Pro" is a practical, engineering focused guide to building production ready data pipelines using Python and orchestration tools like Apache Airflow.

This book teaches you how to design pipelines that are robust, observable, and built for real workloads.


Why production data pipelines matter

Without well designed pipelines, systems suffer from:

broken data flowsunreliable processinglack of visibility into failurespoor scalabilityinconsistent data quality

This book shows you how to build pipelines that solve these challenges.


What you will learnfundamentals of ETL and ELT pipelinesbatch vs streaming architecturesdesigning data workflows with Airflowbuilding and scheduling DAGsdata ingestion and transformation strategieshandling failures and retriesmonitoring, logging, and observabilityscaling pipelines for large datasetsdata validation and quality checksintegrating pipelines with data warehouses and APIs
From raw data to reliable systems

Throughout the book, you will learn how to:

design end to end data pipelinesorchestrate complex workflowsprocess data in batch and real timebuild fault tolerant systemsmonitor and debug pipelinesoptimize performance and cost

Each chapter focuses on practical implementation.


Practical applicationsanalytics data pipelinesreal time data streaming systemsETL pipelines for business intelligencedata integration platformsmachine learning data pipelines

These examples reflect real production scenarios.


Who this book is fordata engineersbackend developersmachine learning engineersDevOps engineers working with dataprofessionals building data systems

If you want to build data pipelines that are reliable, scalable, and production ready, this book provides the roadmap.

Design clean flows.
Orchestrate with confidence.
Deliver data that works.

Opiniones del libro

Preguntas frecuentes sobre el libro

Todos los libros de nuestro catálogo son Originales.
El libro está escrito en Inglés.
La encuadernación de esta edición es Tapa Blanda.

Preguntas y respuestas sobre el libro

¿Tienes una pregunta sobre el libro? Inicia sesión para poder agregar tu propia pregunta.

Opiniones sobre Buscalibre

Ver más opiniones de clientes