Practical Stream Engineering with Apache Samza: Architecting, Developing, and Operating Real-Time Data Pipelines (eBook, ePUB)
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Practical Stream Engineering with Apache Samza: Architecting, Developing, and Operating Real-Time Data Pipelines is an authoritative, tightly focused resource for engineers and architects building production-grade stream processing systems. The book opens by tracing the evolution from batch to real-time processing, clarifying the design trade-offs that drive modern streaming architectures and situating Samza among contemporaries like Flink, Storm, and Kafka Streams. With clear comparisons and real-world use cases, readers gain the conceptual foundation needed to evaluate when and how Samza pro...
Practical Stream Engineering with Apache Samza: Architecting, Developing, and Operating Real-Time Data Pipelines is an authoritative, tightly focused resource for engineers and architects building production-grade stream processing systems. The book opens by tracing the evolution from batch to real-time processing, clarifying the design trade-offs that drive modern streaming architectures and situating Samza among contemporaries like Flink, Storm, and Kafka Streams. With clear comparisons and real-world use cases, readers gain the conceptual foundation needed to evaluate when and how Samza provides the best fit for latency-sensitive, stateful workloads.
The core of the guide dives into Samza's architecture and programming models, from its modular runtime and YARN integration to state management, message serialization, and developer-facing APIs and SQL. It offers practical, example-driven guidance on building stateful applications, achieving durability and exactly-once semantics, and optimizing for throughput and latency. Extensive chapters on deployment, monitoring, multi-tenancy, and performance engineering provide operators and DevOps teams with proven practices for running resilient, scalable Samza clusters in production.
Beyond internals, the book explores integration patterns across the data ecosystembest practices for coupling Samza with Kafka, Hadoop, cloud storage, and event-driven architectureswhile addressing security, governance, and compliance concerns important to enterprise deployments. A final set of case studies highlights applications in real-time analytics, fraud detection, IoT, and cloud-native environments, and a forward-looking conclusion examines open-source developments and future directions for stream engineering. Whether you are architecting complex pipelines, developing high-throughput jobs, or operating mission-critical systems, this book is an indispensable companion for practical stream engineering with Apache Samza.
The core of the guide dives into Samza's architecture and programming models, from its modular runtime and YARN integration to state management, message serialization, and developer-facing APIs and SQL. It offers practical, example-driven guidance on building stateful applications, achieving durability and exactly-once semantics, and optimizing for throughput and latency. Extensive chapters on deployment, monitoring, multi-tenancy, and performance engineering provide operators and DevOps teams with proven practices for running resilient, scalable Samza clusters in production.
Beyond internals, the book explores integration patterns across the data ecosystembest practices for coupling Samza with Kafka, Hadoop, cloud storage, and event-driven architectureswhile addressing security, governance, and compliance concerns important to enterprise deployments. A final set of case studies highlights applications in real-time analytics, fraud detection, IoT, and cloud-native environments, and a forward-looking conclusion examines open-source developments and future directions for stream engineering. Whether you are architecting complex pipelines, developing high-throughput jobs, or operating mission-critical systems, this book is an indispensable companion for practical stream engineering with Apache Samza.
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