Corestream Process Framework
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Corestream Process Framework
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Author : Timur Kady
language : en
Publisher: Timur Kady
Release Date : 2024-11-25
Corestream Process Framework written by Timur Kady and has been published by Timur Kady this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-25 with Business & Economics categories.
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
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-29
Ksql For Stream Processing written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-29 with Computers categories.
"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
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Author : Jai Kiran Reddy Burugulla
language : en
Publisher: GLOBAL PEN PRESS UK
Release Date :
Next Gen Systems And Strategies For Digital Transaction Ecosystems written by Jai Kiran Reddy Burugulla and has been published by GLOBAL PEN PRESS UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
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Data Stream Management
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Author : Minos Garofalakis
language : en
Publisher: Springer
Release Date : 2016-07-11
Data Stream Management written by Minos Garofalakis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-11 with Computers categories.
This volume focuses on the theory and practice of data stream management, and the novel challenges this emerging domain poses for data-management algorithms, systems, and applications. The collection of chapters, contributed by authorities in the field, offers a comprehensive introduction to both the algorithmic/theoretical foundations of data streams, as well as the streaming systems and applications built in different domains. A short introductory chapter provides a brief summary of some basic data streaming concepts and models, and discusses the key elements of a generic stream query processing architecture. Subsequently, Part I focuses on basic streaming algorithms for some key analytics functions (e.g., quantiles, norms, join aggregates, heavy hitters) over streaming data. Part II then examines important techniques for basic stream mining tasks (e.g., clustering, classification, frequent itemsets). Part III discusses a number of advanced topics on stream processing algorithms, and Part IV focuses on system and language aspects of data stream processing with surveys of influential system prototypes and language designs. Part V then presents some representative applications of streaming techniques in different domains (e.g., network management, financial analytics). Finally, the volume concludes with an overview of current data streaming products and new application domains (e.g. cloud computing, big data analytics, and complex event processing), and a discussion of future directions in this exciting field. The book provides a comprehensive overview of core concepts and technological foundations, as well as various systems and applications, and is of particular interest to students, lecturers and researchers in the area of data stream management.
Mastering Java Machine Learning
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Author : Dr. Uday Kamath
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-07-11
Mastering Java Machine Learning written by Dr. Uday Kamath and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-11 with Computers categories.
Become an advanced practitioner with this progressive set of master classes on application-oriented machine learning About This Book Comprehensive coverage of key topics in machine learning with an emphasis on both the theoretical and practical aspects More than 15 open source Java tools in a wide range of techniques, with code and practical usage. More than 10 real-world case studies in machine learning highlighting techniques ranging from data ingestion up to analyzing the results of experiments, all preparing the user for the practical, real-world use of tools and data analysis. Who This Book Is For This book will appeal to anyone with a serious interest in topics in Data Science or those already working in related areas: ideally, intermediate-level data analysts and data scientists with experience in Java. Preferably, you will have experience with the fundamentals of machine learning and now have a desire to explore the area further, are up to grappling with the mathematical complexities of its algorithms, and you wish to learn the complete ins and outs of practical machine learning. What You Will Learn Master key Java machine learning libraries, and what kind of problem each can solve, with theory and practical guidance. Explore powerful techniques in each major category of machine learning such as classification, clustering, anomaly detection, graph modeling, and text mining. Apply machine learning to real-world data with methodologies, processes, applications, and analysis. Techniques and experiments developed around the latest specializations in machine learning, such as deep learning, stream data mining, and active and semi-supervised learning. Build high-performing, real-time, adaptive predictive models for batch- and stream-based big data learning using the latest tools and methodologies. Get a deeper understanding of technologies leading towards a more powerful AI applicable in various domains such as Security, Financial Crime, Internet of Things, social networking, and so on. In Detail Java is one of the main languages used by practicing data scientists; much of the Hadoop ecosystem is Java-based, and it is certainly the language that most production systems in Data Science are written in. If you know Java, Mastering Machine Learning with Java is your next step on the path to becoming an advanced practitioner in Data Science. This book aims to introduce you to an array of advanced techniques in machine learning, including classification, clustering, anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning. Accompanying each chapter are illustrative examples and real-world case studies that show how to apply the newly learned techniques using sound methodologies and the best Java-based tools available today. On completing this book, you will have an understanding of the tools and techniques for building powerful machine learning models to solve data science problems in just about any domain. Style and approach A practical guide to help you explore machine learning—and an array of Java-based tools and frameworks—with the help of practical examples and real-world use cases.
Ibm Infosphere Streams Harnessing Data In Motion
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Author : Chuck Ballard
language : en
Publisher: IBM Redbooks
Release Date : 2010-09-14
Ibm Infosphere Streams Harnessing Data In Motion written by Chuck Ballard and has been published by IBM Redbooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-09-14 with Computers categories.
In this IBM® Redbooks® publication, we discuss and describe the positioning, functions, capabilities, and advanced programming techniques for IBM InfoSphereTM Streams (V1). See: http://www.redbooks.ibm.com/abstracts/sg247970.html for the newer InfoSphere Streams (V2) release. Stream computing is a new paradigm. In traditional processing, queries are typically run against relatively static sources of data to provide a query result set for analysis. With stream computing, a process that can be thought of as a continuous query, that is, the results are continuously updated as the data sources are refreshed. So, traditional queries seek and access static data, but with stream computing, a continuous stream of data flows to the application and is continuously evaluated by static queries. However, with IBM InfoSphere Streams, those queries can be modified over time as requirements change. IBM InfoSphere Streams takes a fundamentally different approach to continuous processing and differentiates itself with its distributed runtime platform, programming model, and tools for developing continuous processing applications. The data streams consumable by IBM InfoSphere Streams can originate from sensors, cameras, news feeds, stock tickers, and a variety of other sources, including traditional databases. It provides an execution platform and services for applications that ingest, filter, analyze, and correlate potentially massive volumes of continuous data streams.
Euro Par 2017 Parallel Processing Workshops
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Author : Dora B. Heras
language : en
Publisher: Springer
Release Date : 2018-02-07
Euro Par 2017 Parallel Processing Workshops written by Dora B. Heras and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-07 with Computers categories.
This book constitutes the proceedings of the workshops of the 23rd International Conference on Parallel and Distributed Computing, Euro-Par 2017, held in Santiago de Compostela. Spain in August 2017. The 59 full papers presented were carefully reviewed and selected from 119 submissions. Euro-Par is an annual, international conference in Europe, covering all aspects of parallel and distributed processing. These range from theory to practice, from small to the largest parallel and distributed systems and infrastructures, from fundamental computational problems to full-edged applications, from architecture, compiler, language and interface design and implementation to tools, support infrastructures, and application performance aspects.
Node Cookbook
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Author : David Mark Clements
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-07-31
Node Cookbook written by David Mark Clements and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-31 with Computers categories.
Over 60 high-quality recipes covering debugging, security, performance, microservices, web frameworks, databases, deployment and more; rewritten for Node.js 8, Node.js 6, and Node.js 4 About This Book Actionable recipes across the full spectrum of Node.js development Cutting edge techniques and tools for measuring and improving performance Best practices for creating readily-scalable production systems Who This Book Is For If you have good knowledge of JavaScript and want to build fast, efficient, scalable client-server solutions, then this book is for you. Some experience with Node.js is assumed to get the most out of this book. If working from a beginner level Node Cookbook 2nd Edition is recommended as a primer for Node Cookbook 3rd Edition. What You Will Learn Debug Node.js programs Write and publish your own Node.js modules Detailed coverage of Node.js core API's Use web frameworks such as Express, Hapi and Koa for accelerated web application development Apply Node.js streams for low-footprint data processing Fast-track performance knowledge and optimization abilities Persistence strategies, including database integrations with MongoDB, MySQL/MariaDB, Postgres, Redis, and LevelDB Apply critical, essential security concepts Use Node with best-of-breed deployment technologies: Docker, Kubernetes and AWS In Detail Today's web demands efficient real-time applications and scalability. Asynchronous event-driven programming is ideal for this, and this is where Node.js comes in. Server-side JavaScript has been here since the 90s, but Node got it right. With Node for tooling and server-side logic, and a browser-based client-side UI, everything is JavaScript. This leads to rapid, fluid development cycles. The full-stack, single language experience means less context-switching between languages for developers, architects and whole teams. This book shows you how to build fast, efficient, and scalable client-server solutions using the latest versions of Node. The book begins with debugging tips and tricks of the trade, and how to write your own modules. Then you'll learn the fundamentals of streams in Node.js, discover I/O control, and how to implement the different web protocols. You'll find recipes for integrating databases such as MongoDB, MySQL/MariaDB, Postgres, Redis, and LevelDB. We also cover the options for building web application with Express, Hapi and Koa. You will then learn about security essentials in Node.js and advanced optimization tools and techniques. By the end of the book you will have acquired the level of expertise to build production-ready and scalable Node.js systems. The techniques and skills you will learn in this book are based on the best practices developed by nearForm, one of the leaders in Node implementations, who supported the work of the authors on this book. Style and approach This recipe-based practical guide presents each topic with step-by-step instructions on how you can create fast and efficient server side applications using the latest features and capabilities in Node 8 whilst also supporting usage with Node 4 and 6.
The Ecological Status Of European Rivers Evaluation And Intercalibration Of Assessment Methods
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Author : Mike T. Furse
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-03-20
The Ecological Status Of European Rivers Evaluation And Intercalibration Of Assessment Methods written by Mike T. Furse and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-03-20 with Science categories.
The monitoring of benthic diatoms, macrophytes, macroinvertebrates and fish will be the backbone of future water management in Europe. This book describes and compares the relevant methodologies and tools, based on a large data set covering rivers in most parts of Europe. The 36 articles presented will provide scientists and water managers with a unique insight into background and application of state-of-the-art monitoring tools and techniques.
Ai And Blockchain In Smart Grids
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Author : Shrikant Tiwari
language : en
Publisher: CRC Press
Release Date : 2025-04-17
Ai And Blockchain In Smart Grids written by Shrikant Tiwari and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Technology & Engineering categories.
AI and Blockchain in Smart Grids: Fundamentals, Methods, and Applications examines the cutting-edge solution that combines artificial intelligence (AI), blockchain technology, and digital twin concepts to innovate the management and optimization of electrical power distribution. This innovative approach enhances the resilience, efficiency, and security of electricity grids while providing real-time insights for grid operators and stakeholders. The book covers such key elements as using: Digital twins in smart grids to gather real-time data from various grid components AI-powered analytics to process the data generated by digital twins and to analyze this information to detect patterns, predict grid failures, and recommend adjustments to enhance a grid's performance Blockchain-based security to ensure the secure and transparent management of data within a smart grid, especially a tamper-resistant ledger to store information related to energy production, distribution, and consumption Decentralized data sharing to allow grid data to be shared securely among various stakeholders, including utilities, regulators, and consumers Grid optimization techniques to improve electricity distribution, reduce energy waste, and balance supply and demand efficiently Select real-world case studies and practical examples demonstrate how AI and blockchain are currently being applied to enhance grid management, energy distribution, and sustainability. By explaining to researchers, academics, and students how AI and blockchain can revolutionize electricity distribution and make grids smarter, more secure, and environmentally friendly, the book points to a future where grid operators, regulators, and consumers will benefit from real-time data and a resilient, efficient energy ecosystem.