Data Modeling And Process Analysis
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Data Modeling And Process Analysis
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Author : MARK JOHN LADO
language : en
Publisher: Amazon Digital Services LLC - Kdp, 2025
Release Date : 2025-01-08
Data Modeling And Process Analysis written by MARK JOHN LADO and has been published by Amazon Digital Services LLC - Kdp, 2025 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-08 with Business & Economics categories.
Second Edition Unlock the power of diagrams to simplify complex systems in AI and process analysis with the second edition of Data Modeling and Process Analysis. Designed for computer science students, educators, and professionals, this book offers a comprehensive guide to mastering diagrams in the age of AI. Packed with real-world scenarios, practical exercises, and the latest tools, this edition ensures readers gain actionable insights into solving today’s technology challenges. Chapter Highlights: 1. Introduction to Data Modeling Explore the foundational principles of data modeling, its evolution, and its pivotal role in AI and machine learning. Learn through real-world case studies, such as dynamic AI-powered environments, while comparing traditional and modern tools like ERDPlus, Lucidchart, and Python-based libraries. 2. Context Diagrams Understand the benefits of creating context diagrams to define system boundaries and interactions. Follow best practices for designing these diagrams in agile environments and tackle exercises like creating a context diagram for an AI-enabled service. 3. Data Flow Diagrams (DFDs) Master the construction of multi-level DFDs to map data processing workflows, balance complex diagrams, and apply them to AI systems, such as chatbot architectures. Advanced topics include integrating DFDs with machine learning pipelines. 4. System Flowcharts Learn to visualize automation workflows, data pipelines, and AI processes with system flowcharts. Delve into exercises like designing flowcharts for recommendation engines, and explore best tools like Microsoft Visio and Creately. 5. Entity-Relationship Diagrams (ERDs) Gain expertise in crafting ERDs for big data and AI-driven systems. Understand advanced concepts like cardinality and constraints while transitioning ERDs into relational databases for predictive analytics projects. 6. Unified Modeling Language (UML) Discover UML diagrams’ significance in AI software development, including use case diagrams, sequence diagrams for AI workflows, and class diagrams for data modeling. Exercises include UML design for fraud detection systems. 7. Neural Network Architecture Diagrams Visualize neural networks, from convolutional to transformer models, using intuitive diagrams. Annotate training parameters and explore real-world applications like image recognition through hands-on exercises. 8. Workflow Diagrams for AI Systems Create workflow diagrams representing data preprocessing, training, and deployment. Learn to integrate MLOps and develop end-to-end AI lifecycle visualizations for industries like healthcare and CRM systems. 9. Ethics and Bias Diagrams in AI Address AI ethics through bias detection and fairness diagrams. Use cutting-edge tools to annotate datasets and visualize transparency in decision-making processes, with examples such as bias analysis in facial recognition. 10. Future of Diagramming in AI Stay ahead of emerging trends in diagramming, including AI-assisted tools, AR in design, and quantum computing’s impact on visualization. Learn to collaborate effectively in remote environments while preparing for the future of AI-driven process analysis. Why This Book? Practical Solutions: Every chapter includes exercises and case studies to reinforce learning. Real-World Focus: Apply diagramming techniques to real-life scenarios in AI and process analysis. Future-Ready: Embrace advanced tools and trends to excel in collaborative and adaptive AI systems. Whether you’re a technology analyst solving data pipeline challenges or an educator seeking clear examples for AI ethics, this book equips you to master diagramming in the AI era.
Process Modelling And Model Analysis
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Author : Ian T. Cameron
language : en
Publisher: Elsevier
Release Date : 2001-05-23
Process Modelling And Model Analysis written by Ian T. Cameron and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-05-23 with Technology & Engineering categories.
Process Modelling and Model Analysis describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models to perform feasibility analyses of novel process designs, assess environmental impact, and detect potential hazards or accidents. To manage complex systems and enable process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises. - Introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation - Focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling - Illustrates the notions, tools, and techniques of process modeling with examples and advances applications
Process Management
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Author : Jörg Becker
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-05
Process Management written by Jörg Becker 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 2013-06-05 with Business & Economics categories.
Process Management is a comprehensive compendium for the contemporary design of process-oriented organizations. It presents a proven methodology for the introduction and sustainable management of business processes. This book discusses each phase of a business process lifecycle model in the light of current research. A continuous case study provides interesting insights into the actual experiences with this lifecycle model and adds to the credibility of the presented contents. This also includes recommendations which are summarized in pragmatic checklists for each stage of the project. This book is of relevance for business analysts, business process managers, consultants, and all practitioners dealing with the analysis and re-design of business processes. It is also a valuable resource for lecturers and students in the disciplines of Business, Information Systems and Engineering.
The Data Warehouse Toolkit
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Author : Ralph Kimball
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-08
The Data Warehouse Toolkit written by Ralph Kimball and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-08 with Computers categories.
This old edition was published in 2002. The current and final edition of this book is The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition which was published in 2013 under ISBN: 9781118530801. The authors begin with fundamental design recommendations and gradually progress step-by-step through increasingly complex scenarios. Clear-cut guidelines for designing dimensional models are illustrated using real-world data warehouse case studies drawn from a variety of business application areas and industries, including: Retail sales and e-commerce Inventory management Procurement Order management Customer relationship management (CRM) Human resources management Accounting Financial services Telecommunications and utilities Education Transportation Health care and insurance By the end of the book, you will have mastered the full range of powerful techniques for designing dimensional databases that are easy to understand and provide fast query response. You will also learn how to create an architected framework that integrates the distributed data warehouse using standardized dimensions and facts.
Advanced Data Analysis And Modelling In Chemical Engineering
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Author : Denis Constales
language : en
Publisher: Elsevier
Release Date : 2016-08-23
Advanced Data Analysis And Modelling In Chemical Engineering written by Denis Constales and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-23 with Technology & Engineering categories.
Advanced Data Analysis and Modeling in Chemical Engineering provides the mathematical foundations of different areas of chemical engineering and describes typical applications. The book presents the key areas of chemical engineering, their mathematical foundations, and corresponding modeling techniques. Modern industrial production is based on solid scientific methods, many of which are part of chemical engineering. To produce new substances or materials, engineers must devise special reactors and procedures, while also observing stringent safety requirements and striving to optimize the efficiency jointly in economic and ecological terms. In chemical engineering, mathematical methods are considered to be driving forces of many innovations in material design and process development. - Presents the main mathematical problems and models of chemical engineering and provides the reader with contemporary methods and tools to solve them - Summarizes in a clear and straightforward way, the contemporary trends in the interaction between mathematics and chemical engineering vital to chemical engineers in their daily work - Includes classical analytical methods, computational methods, and methods of symbolic computation - Covers the latest cutting edge computational methods, like symbolic computational methods
Risk Centric Threat Modeling
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Author : Tony UcedaVelez
language : en
Publisher: John Wiley & Sons
Release Date : 2015-05-26
Risk Centric Threat Modeling written by Tony UcedaVelez and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-26 with Political Science categories.
This book introduces the Process for Attack Simulation & Threat Analysis (PASTA) threat modeling methodology. It provides an introduction to various types of application threat modeling and introduces a risk-centric methodology aimed at applying security countermeasures that are commensurate to the possible impact that could be sustained from defined threat models, vulnerabilities, weaknesses, and attack patterns. This book describes how to apply application threat modeling as an advanced preventive form of security. The authors discuss the methodologies, tools, and case studies of successful application threat modeling techniques. Chapter 1 provides an overview of threat modeling, while Chapter 2 describes the objectives and benefits of threat modeling. Chapter 3 focuses on existing threat modeling approaches, and Chapter 4 discusses integrating threat modeling within the different types of Software Development Lifecycles (SDLCs). Threat modeling and risk management is the focus of Chapter 5. Chapter 6 and Chapter 7 examine Process for Attack Simulation and Threat Analysis (PASTA). Finally, Chapter 8 shows how to use the PASTA risk-centric threat modeling process to analyze the risks of specific threat agents targeting web applications. This chapter focuses specifically on the web application assets that include customer’s confidential data and business critical functionality that the web application provides. • Provides a detailed walkthrough of the PASTA methodology alongside software development activities, normally conducted via a standard SDLC process • Offers precise steps to take when combating threats to businesses • Examines real-life data breach incidents and lessons for risk management Risk Centric Threat Modeling: Process for Attack Simulation and Threat Analysis is a resource for software developers, architects, technical risk managers, and seasoned security professionals.
Modeling Business Processes
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Author : Wil Van Der Aalst, M.P.
language : en
Publisher: MIT Press
Release Date : 2011-05-27
Modeling Business Processes written by Wil Van Der Aalst, M.P. and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-27 with Computers categories.
An introduction to the modeling of business information systems, with processes formally modeled using Petri nets. This comprehensive introduction to modeling business-information systems focuses on business processes. It describes and demonstrates the formal modeling of processes in terms of Petri nets, using a well-established theory for capturing and analyzing models with concurrency. The precise semantics of this formal method offers a distinct advantage for modeling processes over the industrial modeling languages found in other books on the subject. Moreover, the simplicity and expressiveness of the Petri nets concept make it an ideal language for explaining foundational concepts and constructing exercises. After an overview of business information systems, the book introduces the modeling of processes in terms of classical Petri nets. This is then extended with data, time, and hierarchy to model all aspects of a process. Finally, the book explores analysis of Petri net models to detect design flaws and errors in the design process. The text, accessible to a broad audience of professionals and students, keeps technicalities to a minimum and offers numerous examples to illustrate the concepts covered. Exercises at different levels of difficulty make the book ideal for independent study or classroom use.
Cloud Data Centers And Cost Modeling
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Author : Caesar Wu
language : en
Publisher: Morgan Kaufmann
Release Date : 2015-02-27
Cloud Data Centers And Cost Modeling written by Caesar Wu and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-27 with Computers categories.
Cloud Data Centers and Cost Modeling establishes a framework for strategic decision-makers to facilitate the development of cloud data centers. Just as building a house requires a clear understanding of the blueprints, architecture, and costs of the project; building a cloud-based data center requires similar knowledge. The authors take a theoretical and practical approach, starting with the key questions to help uncover needs and clarify project scope. They then demonstrate probability tools to test and support decisions, and provide processes that resolve key issues. After laying a foundation of cloud concepts and definitions, the book addresses data center creation, infrastructure development, cost modeling, and simulations in decision-making, each part building on the previous. In this way the authors bridge technology, management, and infrastructure as a service, in one complete guide to data centers that facilitates educated decision making. - Explains how to balance cloud computing functionality with data center efficiency - Covers key requirements for power management, cooling, server planning, virtualization, and storage management - Describes advanced methods for modeling cloud computing cost including Real Option Theory and Monte Carlo Simulations - Blends theoretical and practical discussions with insights for developers, consultants, and analysts considering data center development
R For Data Science
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Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-12
R For Data Science written by Hadley Wickham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Information Systems Engineering From Data Analysis To Process Networks
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Author : Johannesson, Paul
language : en
Publisher: IGI Global
Release Date : 2008-04-30
Information Systems Engineering From Data Analysis To Process Networks written by Johannesson, Paul and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-30 with Business & Economics categories.
Information systems belong to the most complex artifacts built in today's society. Developing, maintaining, and using an information system raises a large number of difficult problems, ranging from purely technical to organizational and social. Information Systems Engineering: From Data Analysis to Process Networks presents the most current research on existing and emergent trends on conceptual modeling and information systems engineering, bridging the gap between research and practice by providing a much-needed reference point on the design of software systems that evolve seamlessly to adapt to rapidly changing business and organizational practices.