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Data Governance: From the Fundamentals to Real Cases
Par Ismael Caballero, Mario Piattini. 2023
This book presents a set of models, methods, and techniques that allow the successful implementation of data governance (DG) in…
an organization and reports real experiences of data governance in different public and private sectors. To this end, this book is composed of two parts. Part I on “Data Governance Fundamentals” begins with an introduction to the concept of data governance that stresses that DG is not primarily focused on databases, clouds, or other technologies, but that the DG framework must be understood by business users, systems personnel, and the systems themselves alike. Next, chapter 2 addresses crucial topics for DG, such as the evolution of data management in organizations, data strategy and policies, and defensive and offensive approaches to data strategy. Chapter 3 then details the central role that human resources play in DG, analysing the key responsibilities of the different DG-related roles and boards, while chapter 4 discusses the most common barriers to DG in practice. Chapter 5 summarizes the paradigm shifts in DG from control to value creation. Subsequently chapter 6 explores the needs, characteristics and key functionalities of DG tools, before this part ends with a chapter on maturity models for data governance. Part II on “Data Governance Applied” consists of five chapters which review the situation of DG in different sectors and industries. Details about DG in the banking sector, public administration, insurance companies, healthcare and telecommunications each are presented in one chapter. The book is aimed at academics, researchers and practitioners (especially CIOs, Data Governors, or Data Stewards) involved in DG. It can also serve as a reference for courses on data governance in information systems.Machine Learning Applications for Intelligent Energy Management: Invited Chapters from Experts on the Energy Field (Learning and Analytics in Intelligent Systems #35)
Par Haris Doukas, Vangelis Marinakis, Elissaios Sarmas. 2024
As carbon dioxide (CO2) emissions and other greenhouse gases constantly rise and constitute the main contributor to climate change, temperature…
rise and global warming, artificial intelligence, big data, Internet of things, and blockchain technologies are enlisted to help enforce energy transition and transform the entire energy sector. The book at hand presents state-of-the-art developments in artificial intelligence-empowered analytics of energy data and artificial intelligence-empowered application development. Topics covered include a presentation of the various stakeholders in the energy sector and their corresponding required analytic services, such as state-of-the-art machine learning, artificial intelligence, and optimization models and algorithms tailored for a series of demanding energy problems and aiming at providing optimal solutions under specific constraints. Professors, researchers, scientists, engineers, and students in energy sector-related disciplines are expected to be inspired and benefit from this book, along with readers from other disciplines wishing to learn more about this exciting new field of research.NGINX Cookbook
Par Derek DeJonghe. 2024
NGINX is one of the most widely used web servers available today, in part because of itscapabilities as a load…
balancer and reverse proxy server for HTTP and other network protocols. This revised cookbook provides easy-to-follow examples of real-world problems in application delivery. Practical recipes help you set up and use either the open source or commercial offering to solve problems in various use cases.For professionals who understand modern web architectures, such as n-tier or microservice designs and common web protocols such as TCP and HTTP, these recipes provide proven solutions for security and software load balancing and for monitoring and maintaining NGINX's application delivery platform. You'll also explore advanced features of both NGINX and NGINX Plus, the free and licensed versions of this server.You'll find recipes for:High-performance load balancing with HTTP, TCP, and UDPSecuring access through encrypted traffic, secure links, HTTP authentication subrequests, and moreDeploying NGINX to Google, AWS, and Azure cloudSetting up and configuring NGINX ControllerInstalling and configuring the NGINX App Protect moduleEnabling WAF through Controller ADCNGINX Instance Manager, Service Mesh, and the njs moduleVision and Actualization in Academia: Georgia Tech’s College of Computing (History of Computing)
Par Peter A. Freeman. 2024
Although difficult, change in academic structures is necessary today, especially in fast-changing fields today such as biology, computing, management, the…
social sciences, and others. This includes changes within existing organizations as well as creation of new structures and reorganizations or eliminations of older ones. This narrative attempts first to document the historical rise of an organization, Georgia Tech’s College of Computing, that has touched and successfully changed the lives of thousands of people. Second, it aims to identify and explicate some of what has led to this widely acknowledged success. The book provides a chronological narrative that highlights major changes taken under each successive leader. These changes have built on one another, knowingly or otherwise, to create a growing organization that rivals in size and prominence longer established parts of the university. The case study, while of an academic organization focused on computing, provides general lessons applicable almost anywhere. Topics and features: Discusses the nature and uses of visions, both general and specificShows how visions can be used to drive specific actions and resource allocationsIllustrates the choice and use of enduring organizational principlesOutlines a simple strategic-planning method and its applicationIndicates results of this overall approach This book will be of interest to anyone interested in organizational change, especially in academia, and to those interested in Georgia Tech. It will also appeal to policymakers in education, government, and industry; as well as anyone interested in the historical growth of the computing milieu broadly. Peter A. Freeman was Founding Dean and Professor in the College of Computing at Georgia Tech from 1990 to 2002. Today he is an Emeritus Dean and Professor.The information infrastructure – comprising computers, embedded devices, networks and software systems – is vital to operations in every sector:…
chemicals, commercial facilities, communications, critical manufacturing, dams, defense industrial base, emergency services, energy, financial services, food and agriculture, government facilities, healthcare and public health, information technology, nuclear reactors, materials and waste, transportation systems, and water and wastewater systems. Global business and industry, governments, indeed society itself, cannot function if major components of the critical information infrastructure are degraded, disabled or destroyed. Critical Infrastructure Protection XVII describes original research results and innovative applications in the interdisciplinary field of critical infrastructure protection. Also, it highlights the importance of weaving science, technology and policy in crafting sophisticated, yet practical, solutions that will help secure information, computer and network assets in the various critical infrastructure sectors. Areas of coverage include: Themes and IssuesSmart Grid Risks and ImpactsNetwork and Telecommunications Systems SecurityInfrastructure SecurityAutomobile Security This book is the seventeenth volume in the annual series produced by the International Federation for Information Processing (IFIP) Working Group 11.10 on Critical Infrastructure Protection, an international community of scientists, engineers, practitioners and policy makers dedicated to advancing research, development and implementation efforts focused on infrastructure protection. The book contains a selection of eleven edited papers from the Seventeenth Annual IFIP WG 11.10 International Conference on Critical Infrastructure Protection, which was held at SRI International, Arlington, Virginia, USA in the spring of 2023. Critical Infrastructure Protection XVII is an important resource for researchers, faculty members and graduate students, as well as for as well as for policy makers, practitioners and other individuals with interests in homeland security.Progress in Landslide Research and Technology, Volume 2 Issue 2, 2023 (Progress in Landslide Research and Technology)
Par Irasema Alcántara-Ayala, Željko Arbanas, David Huntley, Kazuo Konagai, Snježana Mihalić Arbanas, Matjaž Mikoš, Maneesha V. Ramesh, Kyoji Sassa, Shinji Sassa, Huiming Tang, Binod Tiwari. 2023
This open access book provides an overview of the progress in landslide research and technology and is part of a…
book series of the International Consortium on Landslides (ICL). The book provides a common platform for the publication of recent progress in landslide research and technology for practical applications and the benefit for the society contributing to the Kyoto Landslide Commitment 2020, which is expected to continue up to 2030 and even beyond to globally promote the understanding and reduction of landslide disaster risk, as well as to address the 2030 Agenda Sustainable Development Goals.Proceedings of Data Analytics and Management: ICDAM 2023, Volume 4 (Lecture Notes in Networks and Systems #788)
Par Abhishek Swaroop, Zdzislaw Polkowski, Sérgio Duarte Correia, Bal Virdee. 2023
This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2023), held at…
London Metropolitan University, London, UK, during June 2023. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students. The book is divided into four volumes.Current and Future Trends on Intelligent Technology Adoption: Volume 1 (Studies in Computational Intelligence #1128)
Par Mohammed A. Al-Sharafi, Mostafa Al-Emran, Garry Wei-Han Tan, Keng-Boon Ooi. 2023
This book explores current and future trends in adopting intelligent technologies, such as the metaverse, social technologies, FinTech applications, and…
blockchain, among individuals and organizations. The edited book includes empirical and review studies primarily focusing on these issues. This focus aids scholars in conducting future research in the domain and identifying possible future developments of emerging technologies. The empirical studies in the book utilize recent and advanced analytical techniques for data analysis.This unique textbook explicitly addresses the intersection of advanced analytics and procurement. It is motivated by one core question: How…
can firms generate (economic) value from procurement data? It demonstrates that procurement is one of the major functions within a firm where data analytics, artificial intelligence, and operations research can successfully be leveraged to reduce cost and risk and to achieve resilience and sustainability goals.The book provides a methods-based overview of data-driven optimization of purchasing decisions. Besides presenting key concepts and applications, it particularly focuses on implementation, so as to help (future) procurement managers and data scientists quickly evaluate the value generated by a given data-driven solution. What sets this textbook apart is its combination of rigorous, state-of-the-art methodologies from academic research and first-hand experience from various application-oriented consulting projects in a range of industries. Though primarily intended for graduate students with a major in procurement and supply chain management, the book will also benefit purchasing managers with and without specific knowledge of advanced analytics techniques, and data scientists with and without specific experience in procurement.Pattern Recognition and Computer Vision: 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13–15, 2023, Proceedings, Part VIII (Lecture Notes in Computer Science #14432)
Par Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji. 2024
The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision,…
PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.Für die erfolgreiche Umsetzung von Testautomatisierung im Unternehmen wird konkrete Hilfestellung geboten. Das Buch geht auf unterschiedliche Formen und Ausprägungen…
der Testautomatisierung, ihre Chancen und Risiken und ihren Einsatz in der betrieblichen Praxis ein. Dabei werden sowohl die Auswirkungen auf andere Bereiche (z.B. Anforderungsmanagement, Releasemanagement, Entwicklung) als auch aktuelle Trends beleuchtet. Das Buch enthält weiterhin eine Wirtschaftlichkeitsberechnung zur Einführung von Testautomatisierung, Erläuterungen zu möglichen Metriken als auch die Bewertung der Testautomatisierung mittels Prozessreifemodellen.Learn Programming with C: An Easy Step-by-Step Self-Practice Book for Learning C
Par Sazzad M.S. Imran, Md Atiqur Ahad. 2024
Authored by two standout professors in the field of Computer Science and Technology with extensive experience in instructing, Learn Programming…
with C: An Easy Step-by Step Self-Practice Book for Learning C is a comprehensive and accessible guide to programming with one of the most popular languages. Meticulously illustrated with figures and examples, this book is a comprehensive guide to writing, editing, and executing C programs on different operating systems and platforms, as well as how to embed C programs into other applications and how to create one’s own library. A variety of questions and exercises are included in each chapter to test the readers’ knowledge. Written for the novice C programmer, especially undergraduate and graduate students, this book’s line-by-line explanation of code and succinct writing style makes it an excellent companion for classroom teaching, learning, and programming labs.The Illustrated AWS Cloud: A Guide to Help You on Your Cloud Practitioner Journey
Par Jen Looper, Denise Yu. 2024
An intuitive, fully illustrated guide to Amazon Web Services for the visually oriented In The Illustrated AWS Cloud: A Guide…
to Help You On Your Cloud Practitioner Journey, a team of veteran tech educators delivers a visual and entertaining guide to Amazon Web Services cloud concepts. The authors focus on the job role and responsibilities of an AWS cloud practitioner, guiding readers through choosing the best AWS services for specific use cases. In addition to general cloud concepts, security and compliance, technology, and billing and pricing topics, you’ll find: High-resolution, black-and-white illustrations clearly explaining critical technical concepts Comprehensive coverage of working with an AWS account and understanding the AWS environment Complete chapters on each of the main categories of AWS services, including Compute, Storage, Database, and NetworkingThe authors also provide bonus content on their companion website at https://illustratedaws.cloud/. Perfect for anyone looking for an easy-to-follow and visual introduction to the Amazon Web Services cloud, including those considering a career as a cloud administrator or technical support person, The Illustrated AWS Cloud is an effective resource for business, finance, sales, and marketing professionals who support and collaborate with AWS tech professionals.Decision and Game Theory for Security: 14th International Conference, GameSec 2023, Avignon, France, October 18–20, 2023, Proceedings (Lecture Notes in Computer Science #14167)
Par Jie Fu, Tomas Kroupa, Yezekael Hayel. 2023
This book constitutes the refereed proceedings of the 14th International Conference on Decision and Game Theory for Security, GameSec 2023, held in…
Avignon, France, during October 18–20, 2023.The 19 full papers and 4 short papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Mechanism design and imperfect information, Security Games, Learning in security games, Cyber deception, Economics of security, Information and privacy and Short articles.Beyond Reality: Proceedings of 3rd International Multi-Disciplinary Conference - Theme: Integrated Sciences and Technologies (IMDC-IST 2024) Volume 2 (Lecture Notes in Networks and Systems #876)
Par Mostafa Al-Emran, Jaber H. Ali, Marco Valeri, Alhamzah Alnoor, Zaid Alaa Hussien. 2023
This book explores current research trends in the context of the Metaverse’s impact on the tourism and marketing industries while…
delving into some case studies on education and finance. These trends are examined through various case studies utilizing distinct analytical methods. The chapters are expected to support scholars and postgraduate students in furthering their research in this field and in recognizing prospective advancements in the applications of the Metaverse.This book constitutes the 5th International Workshop, IoTBDH 2023, held in Birmingham, UK, during October 21–25, 2023.The 7 full papers…
and 4 short papers included in this volume were carefully reviewed and selected from 33 submissions. They focus on the state-of-the-art research and applications in utilizing IoT and big data technology for healthcare by presenting efficient scientific and engineering solutions, addressing the needs and challenges for integration with new technologies, and providing visions for future research and development.Active Object Languages: Current Research Trends (Lecture Notes in Computer Science #14360)
Par Frank De Boer, Ferruccio Damiani, Reiner Hähnle, Einar Broch Johnsen, Eduard Kamburjan. 2024
Active Objects are a programming paradigm that supports a non-competitive, data-driven concurrency model. This renders active object languages to be…
well-suited for simulation, data race-free programming, and formal verification. Concepts from active objects made their way into languages such as Rust, ABS, Akka, JavaScript, and Go. This is the first comprehensive state-of-art overview on the subject, the invited contributions are written by experts in the areas of distributed systems, formal methods, and programming languages.Laws of UX: Using Psychology To Design Better Products And Services
Par Jon Yablonski. 2024
An understanding of psychology-specifically the psychology behind how users behave and interact with digital interfaces-is perhaps the single most valuable…
nondesign skill a designer can have. The most elegant design can fail if it forces users to conform to the design instead of working within the "blueprint" of how humans perceive and process the world around them.This practical guide explains how you can apply key principles of psychology to build products and experiences that are more human-centered and intuitive. Author Jon Yablonski deconstructs familiar apps and experiences to provide clear examples of how UX designers can build interfaces that adapt to how users perceive and process digital interfaces.You'll learn:How aesthetically pleasing design creates positive responsesThe principles of psychology most useful for designersHow these psychology principles relate to UX heuristicsPredictive models including Fitts's law, Jakob's law, and Hick's lawEthical implications of using psychology in designA practical framework for applying principles of psychology in your design processThis updated edition includes an even deeper connection to the underlying psychological concepts that govern the principles explored in the book, along with accompanying UX methods and techniques. Examples have been updated to ensure the deconstructed apps and experiences remain familiar and relevant.Linked: Conquer LinkedIn. Get Your Dream Job. Own Your Future.
Par Omar Garriott, Jeremy Schifeling. 2022
The LinkedIn insider&’s guide to how the new job search really works—and how to make it work for you. No…
one disputes that LinkedIn is the world&’s biggest job market. So it&’s about time that someone with the inside scoop explained how to make the most of it. Here, from two LinkedIn experts and former employees, is the definitive guide that demystifies the massive site and gives every reader—from the newly minted college graduate to the midlife career-changer—the most important strategies to win the modern job search game. Clear, lively, and decidedly practical, Linked shows how to burnish your personal brand so recruiters come to you. Tap the power of the network effect and turn anyone into an invaluable referral. Think like employers and focus your profile to get noticed, get considered, and get hired. And game both the search algorithm and Applicant Tracking Systems used by nearly every employer in every economic sector. The result: not just a great job, but the future of your dreams.Distributed Machine Learning Patterns
Par Yuan Tang. 2024
Practical patterns for scaling machine learning from your laptop to a distributed cluster.Distributing machine learning systems allow developers to handle…
extremely large datasets across multiple clusters, take advantage of automation tools, and benefit from hardware accelerations. This book reveals best practice techniques and insider tips for tackling the challenges of scaling machine learning systems. In Distributed Machine Learning Patterns you will learn how to: Apply distributed systems patterns to build scalable and reliable machine learning projects Build ML pipelines with data ingestion, distributed training, model serving, and more Automate ML tasks with Kubernetes, TensorFlow, Kubeflow, and Argo Workflows Make trade-offs between different patterns and approaches Manage and monitor machine learning workloads at scale Inside Distributed Machine Learning Patterns you&’ll learn to apply established distributed systems patterns to machine learning projects—plus explore cutting-edge new patterns created specifically for machine learning. Firmly rooted in the real world, this book demonstrates how to apply patterns using examples based in TensorFlow, Kubernetes, Kubeflow, and Argo Workflows. Hands-on projects and clear, practical DevOps techniques let you easily launch, manage, and monitor cloud-native distributed machine learning pipelines. About the technology Deploying a machine learning application on a modern distributed system puts the spotlight on reliability, performance, security, and other operational concerns. In this in-depth guide, Yuan Tang, project lead of Argo and Kubeflow, shares patterns, examples, and hard-won insights on taking an ML model from a single device to a distributed cluster. About the book Distributed Machine Learning Patterns provides dozens of techniques for designing and deploying distributed machine learning systems. In it, you&’ll learn patterns for distributed model training, managing unexpected failures, and dynamic model serving. You&’ll appreciate the practical examples that accompany each pattern along with a full-scale project that implements distributed model training and inference with autoscaling on Kubernetes. What's inside Data ingestion, distributed training, model serving, and more Automating Kubernetes and TensorFlow with Kubeflow and Argo Workflows Manage and monitor workloads at scale About the reader For data analysts and engineers familiar with the basics of machine learning, Bash, Python, and Docker. About the author Yuan Tang is a project lead of Argo and Kubeflow, maintainer of TensorFlow and XGBoost, and author of numerous open source projects. Table of Contents PART 1 BASIC CONCEPTS AND BACKGROUND 1 Introduction to distributed machine learning systems PART 2 PATTERNS OF DISTRIBUTED MACHINE LEARNING SYSTEMS 2 Data ingestion patterns 3 Distributed training patterns 4 Model serving patterns 5 Workflow patterns 6 Operation patterns PART 3 BUILDING A DISTRIBUTED MACHINE LEARNING WORKFLOW 7 Project overview and system architecture 8 Overview of relevant technologies 9 A complete implementation