SKU/Artículo: AMZ-B0FMKCWKRV

The Data Engineer's Playbook: Designing and Building Scalable ETL Pipelines with Apache Spark and Kafka

Format:

Paperback

Kindle

Paperback

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.33 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • The Data Engineer's Playbook: Designing and Building Scalable ETL Pipelines with Apache Spark and Kafka is a practical guide for data engineers, architects, and developers who want to design, implement, and maintain efficient data processing pipelines. This book walks through the essential steps of building ETL workflows, from ingestion and transformation to loading and monitoring, using Apache Spark for large-scale data processing and Apache Kafka for real-time streaming. Through clear explanations and practical examples, it covers pipeline design patterns, performance tuning, and integration strategies to help readers create scalable, reliable, and maintainable data systems for modern analytics and machine learning workloads.
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