Data Pipelines in the Cloud: Streaming and Batch with Managed Services explores the architecture, automation, and optimization of modern data workflows in cloud environments. It delves into real-time and batch processing, DataOps practices, governance, and end-to-end security, while examining key technologies such as stream processing, serverless computing, data catalogs, and machine learning integration. The book provides a comprehensive view of how organizations can design scalable, resilient, and intelligent data pipelines using managed cloud services to deliver trustworthy, low-latency insights across global, distributed systems.
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