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Author: Timur Kady
Publisher: Timur Kady
ISBN:
Category : Business & Economics
Languages : en
Pages : 112
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Book Description
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.
Author: Timur Kady
Publisher: Timur Kady
ISBN:
Category : Business & Economics
Languages : en
Pages : 112
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Book Description
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.
Author: Peter Jones
Publisher: Walzone Press
ISBN:
Category : Computers
Languages : en
Pages : 179
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Book Description
"Crafting Data-Driven Solutions: Core Principles for Robust, Scalable, and Sustainable Systems" stands as an essential resource for anyone tasked with developing, scaling, or managing applications where data is the pivotal component. This comprehensive guide delves into the architectural frameworks of data systems, elucidating the intricate interactions that influence performance, scalability, and reliability. From foundational principles to advanced theories in batch and stream processing, each chapter systematically unveils critical insights into data models, storage solutions, encoding techniques, replication strategies, and more, supported by real-world case studies and practical examples. Whether you are an experienced software architect, a developer keen to enhance your data system design skills, or a student preparing to navigate the complexities of big data, this book provides the deep knowledge and expert guidance needed to excel in the realm of data-driven systems. Empower yourself with the expertise to design resilient architectures that not only fulfill operational requirements but also scale gracefully with evolving data demands. Make "Crafting Data-Driven Solutions" your go-to reference for building next-generation systems that are robust, efficient, and sustainable.
Author: Matthew Skelton
Publisher: IT Revolution
ISBN: 1942788827
Category : Business & Economics
Languages : en
Pages : 210
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Book Description
Effective software teams are essential for any organization to deliver value continuously and sustainably. But how do you build the best team organization for your specific goals, culture, and needs? Team Topologies is a practical, step-by-step, adaptive model for organizational design and team interaction based on four fundamental team types and three team interaction patterns. It is a model that treats teams as the fundamental means of delivery, where team structures and communication pathways are able to evolve with technological and organizational maturity. In Team Topologies, IT consultants Matthew Skelton and Manuel Pais share secrets of successful team patterns and interactions to help readers choose and evolve the right team patterns for their organization, making sure to keep the software healthy and optimize value streams. Team Topologies is a major step forward in organizational design for software, presenting a well-defined way for teams to interact and interrelate that helps make the resulting software architecture clearer and more sustainable, turning inter-team problems into valuable signals for the self-steering organization.
Author: Minos Garofalakis
Publisher: Springer
ISBN: 354028608X
Category : Computers
Languages : en
Pages : 528
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Book Description
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.
Author: Baskar Gurunathan
Publisher: Elsevier
ISBN: 032385270X
Category : Science
Languages : en
Pages : 562
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Book Description
Biofuels and Bioenergy: Opportunities and Challenges is the first of two volumes that address the technological developments and challenges in the production of a broad range of biofuels and bioenergy products from renewable feedstock. The book emphasizes the opportunities and challenges involved in various processes including fermentation, transesterification, microbial fuels cells, liquefaction, gasification, and pyrolysis. These are also considered from a biorefinery perspective and discuss all common biomass feedstocks. In addition, the book presents new research on microalgae from waste water treatment, large scale production of microalgae, microbial biooil production, biogas production, computational tools for manipulation of metabolic pathway for enhanced biogas production, production of biofuel from genetically modified microalgal biomass, techno-economic analysis, environmental impact and life cycle analysis. Biofuels and Bioenergy is an ideal reference on the latest research for researchers and students working in the area of biofuels and renewable energy. - Addresses biological and chemical methods of biofuel and bioenergy production - Provides industry case studies alongside in-depth techno-economic analysis, environmental impact, and life cycle assessment of biofuels production - Focuses on the commercial viability of production processes
Author: Dr. Uday Kamath
Publisher: Packt Publishing Ltd
ISBN: 1785888552
Category : Computers
Languages : en
Pages : 556
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Book Description
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.
Author: Chuck Ballard
Publisher: IBM Redbooks
ISBN: 0738434736
Category : Computers
Languages : en
Pages : 360
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Book Description
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.
Author: Dora B. Heras
Publisher: Springer
ISBN: 3319751786
Category : Computers
Languages : en
Pages : 760
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Book Description
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.
Author: Mike T. Furse
Publisher: Springer Science & Business Media
ISBN: 1402054939
Category : Science
Languages : en
Pages : 544
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Book Description
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.
Author:
Publisher:
ISBN:
Category : Hydrography
Languages : en
Pages : 2
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Book Description
