The Data Engineer's Playbook: Designing and Building Scalable ETL Pipelines with Apache Spark and Kafka
Format:
Paperback
En stock
0.33 kg
Sí
Nuevo
Amazon
USA
- 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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