Corestream Process Framework
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CoreStream Process Framework
The CoreStream Process Framework® is a taxonomy of cross-functional business processes developed for benchmarking and management improvement purposes. This framework organizes business processes into 11 categories and covers over 5,300 processes. Each business process within every category is divided into six groups corresponding to the lifecycle phases of the respective business objects. Each group is further subdivided into subgroups of operations organized according to their logical sequence: preparatory, core, and final operations. This principle also applies to the arrangement of the operations themselves. In some cases, based on best practices, the operations are complemented with control actions. As a result, the business process classifier represents a comprehensive and systematic hierarchy (decomposition) of business processes, spanning from the level of key processes to the level of individual operations. As of the release of this version, the CoreStream Process Framework® is the most complete and balanced business process classifier available, suitable for use by any company regardless of industry, product type, organizational structure, size, or location.
KSQL for Stream Processing
"KSQL for Stream Processing" "KSQL for Stream Processing" is a definitive guide for data engineers, architects, and developers seeking to harness the power of real-time analytics and stream processing with KSQL and Apache Kafka. Beginning with a robust foundation in streaming concepts, the book explores the distinctions between batch and stream processing, fundamental patterns for data pipelines, and the architectural considerations vital to building resilient, scalable streaming systems. Detailed coverage of distributed messaging and state management ensures readers can tackle the complexities of modern, event-driven applications with confidence. The text delves deeply into KSQL’s core architecture—unpacking query execution, deployment models, integration strategies, and performance optimization. Readers are guided through the nuances of the KSQL query language, stream and table abstractions, advanced windowing techniques, and error handling for reliable, real-time data processing. Hands-on chapters illuminate how to build end-to-end streaming ETL, power low-latency analytics dashboards, and seamlessly integrate with external systems, microservices, and cloud-native platforms. Going further, the book offers comprehensive strategies for scaling, observability, data governance, and security, ensuring that production workloads are not only robust but also compliant. Practical advanced use cases—including fraud detection, IoT, machine learning integration, and operational monitoring—demonstrate KSQL’s versatility across industries. Concluding with insights into emerging trends, community innovations, and best practices, "KSQL for Stream Processing" equips professionals with the skills and vision needed for the next generation of data-intensive applications.
NEXT-GEN SYSTEMS AND STRATEGIES FOR DIGITAL TRANSACTION ECOSYSTEMS
Author: Jai Kiran Reddy Burugulla
language: en
Publisher: GLOBAL PEN PRESS UK
Release Date:
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