Stream Processing Techniques and Patterns (eBook, ePUB)
Definitive Reference for Developers and Engineers
PAYBACK Punkte
0 °P sammeln!
"Stream Processing Techniques and Patterns" "Stream Processing Techniques and Patterns" offers a comprehensive and authoritative guide to the principles, architectures, and best practices shaping the modern world of real-time data computation. Beginning with core concepts such as event-driven paradigms, stream lifecycles, and temporal semantics, the book meticulously develops a deep foundational understanding of continuous and discrete stream processing. Readers explore critical trade-offs around throughput, latency, and quality of service, equipping them to make informed architectural choices...
"Stream Processing Techniques and Patterns"
"Stream Processing Techniques and Patterns" offers a comprehensive and authoritative guide to the principles, architectures, and best practices shaping the modern world of real-time data computation. Beginning with core concepts such as event-driven paradigms, stream lifecycles, and temporal semantics, the book meticulously develops a deep foundational understanding of continuous and discrete stream processing. Readers explore critical trade-offs around throughput, latency, and quality of service, equipping them to make informed architectural choices from the outset.
Building on this foundation, the book systematically navigates the landscape of distributed stream processing. It covers advanced architectural patterns-including master-worker, coordinator-free, and stateful designs-alongside crucial operational topics like parallelism, partitioning, network topologies, elasticity, and robust state management. Attention is paid to fault tolerance, resilience, and reliability, offering actionable strategies for checkpointing, replay, backpressure control, and handling difficult failure scenarios. Throughout, the text interweaves practical guidance for cloud-native deployment, monitoring, and DevOps, ensuring robust, maintainable, and secure operations in production environments.
At the cutting edge, "Stream Processing Techniques and Patterns" delves into advanced topics such as real-time machine learning integration, anomaly and outlier detection, and A/B testing in streaming contexts. Rich chapters catalog proven patterns, anti-patterns, and real-world case studies spanning IoT, finance, advertising technology, and observability infrastructure. The book concludes with a forward-looking examination of emerging trends and research challenges, making it an essential resource for practitioners, architects, and researchers seeking to excel in streaming data systems.
"Stream Processing Techniques and Patterns" offers a comprehensive and authoritative guide to the principles, architectures, and best practices shaping the modern world of real-time data computation. Beginning with core concepts such as event-driven paradigms, stream lifecycles, and temporal semantics, the book meticulously develops a deep foundational understanding of continuous and discrete stream processing. Readers explore critical trade-offs around throughput, latency, and quality of service, equipping them to make informed architectural choices from the outset.
Building on this foundation, the book systematically navigates the landscape of distributed stream processing. It covers advanced architectural patterns-including master-worker, coordinator-free, and stateful designs-alongside crucial operational topics like parallelism, partitioning, network topologies, elasticity, and robust state management. Attention is paid to fault tolerance, resilience, and reliability, offering actionable strategies for checkpointing, replay, backpressure control, and handling difficult failure scenarios. Throughout, the text interweaves practical guidance for cloud-native deployment, monitoring, and DevOps, ensuring robust, maintainable, and secure operations in production environments.
At the cutting edge, "Stream Processing Techniques and Patterns" delves into advanced topics such as real-time machine learning integration, anomaly and outlier detection, and A/B testing in streaming contexts. Rich chapters catalog proven patterns, anti-patterns, and real-world case studies spanning IoT, finance, advertising technology, and observability infrastructure. The book concludes with a forward-looking examination of emerging trends and research challenges, making it an essential resource for practitioners, architects, and researchers seeking to excel in streaming data systems.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Andere Kunden interessierten sich für
