توضیحات
This book provides a comprehensive introduction to Apache Beam, a unified programming model for defining and executing data processing pipelines across multiple execution engines. It covers concepts such as pipeline design, data transformations, windowing, triggers, and handling late data for both batch and streaming applications. Through hands-on examples and real-world scenarios, readers learn how to implement efficient, maintainable, and scalable data workflows. The book also explores integration with cloud services and best practices for monitoring, debugging, and optimizing pipelines. By the end, readers gain the skills to design and deploy robust big data pipelines using Apache Beam in diverse data environments.
نقد و بررسیها
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