Data og IT

Embark on a journey through the Agile-Enterprise Solution Architecture (A-ESA) framework with this in-depth guide designed to provide a structured approach to IT solution modeling. The modeling approach is based on the principles of simplicity, significance, and systematics. It effectively addresses architectural debt issues in today's agile and large-scale IT solutions.Beginning with a foundational overview of A-ESA model specifications, the book introduces readers to the intent and unique methodologies behind A-ESA. It then delves into practical demonstrations through example solution cases, offering real-world context and insights into various architectural styles. Each chapter builds on this knowledge, covering the governing ideas of the thinking framework and essential topics such as key metrics, and modeling considerations for diverse architectural styles, ensuring a thorough understanding of A-ESA's application in different contexts.The book also emphasizes the link between enterprise architecture (EA) and solution architecture (SA), and the importance of governance and measurement in maintaining the integrity and effectiveness of architectural solutions. Readers will explore critical metrics, governance techniques, and the impact of agile modeling on purpose and architectural leading practices. With practical examples, measurement techniques, and governance strategies, this guide equips readers with the cognitive and practical tools necessary for strategic and effective architectural thinking. Concluding with reflections and future outlooks, this comprehensive guide offers valuable insights for mastering IT solution modeling within the A-ESA framework. You Will: Gain hands-on experience with the Agile-Enterprise Solution Architecture (A-ESA) framework through detailed examples and solution cases that illustrate various architectural styles and modeling techniques. Understand the critical metrics and model mappings necessary for evaluating architectural quality and performance. Develop a deep understanding of the A-ESA architectural thinking, including strategic, enterprise, business, data, and cloud architecture considerations

Your MySQL instances are probably broken. Many developers face slow-running queries, issues related to database architecture, replication, or database security-and that's only the beginning. This book will deliver answers to your most pressing MySQL database questions related to performance, availability, or security by uncovering what causes databases to break in the first place.At its core, this book provides you with the knowledge necessary for you to break your database instances so you can better optimize it for performance and secure it from data breaches. In other words, you'll discover the sorts of actions, minor and major, that degrade databases so you can fix and ultimately preempt them. MySQL sometimes acts according to its own rules, and this book will help you keep it working on your terms. At the same time, you will learn to optimize your backup and recovery procedures, determine when and which data to index to achieve maximum performance, and choose the best MySQL configurations, among other essential skills.Most MySQL books focus exclusively on optimization, but this book argues that it's just as important to pay attention to the ways databases break. Indeed, after reading this book, you will be able to safely break your database instances to expose and overcome the nuanced issues that affect performance, availability, and security. What You Will Learn Know the basics of MySQL and the storage engines innoDB and MyISAM Spot the ways you are harming your database's performance, availability and security without even realizing it Fix minor bugs and issues that have surprisingly serious impact Optimize schema, data types, queries, indexes, and partitions to head off issues Understand key MySQL security strategies

Pro WordPress is your ultimate guide to unlocking the full potential of  the world's leading content management system. From novice bloggers to seasoned developers, this comprehensive resource offers a step-by-step journey through every aspect of WordPress customization, security and performance optimization.With clear explanations and practical examples, you'll learn how to set up your WordPress environment, choose the right themes and plugins, and customize your site with advanced techniques such as custom post types, widgets, shortcodes, and more. Dive deep into the world of WordPress security and discover how to safeguard your website against cyber threats with strategies like two-factor authentication, secure file permissions, and regular security audits.But that's not all - this book also equips you with the tools and knowledge to optimize your site for lightning-fast performance and high search engine rankings. Learn how to leverage caching mechanisms, minimize HTTP requests, and implement SEO strategies to boost your site's speed and visibility.Whether you're managing a single WordPress site or overseeing a multisite network, you'll find invaluable insights and best practices for scalability and high availability. Real-world case studies provide inspiration and guidance, showcasing successful WordPress implementations and effective strategies for growth.Whether you're a business owner, freelancer, or aspiring web developer, Pro WordPress empowers you to take control of your online presence and build websites that stand out in today's competitive digital landscape. Unlock the full potential of WordPress and elevate your web development skills with this essential resource.You Will Learn:  The  WordPress ecosystem in its entirety, including its history, core features, and community dynamics. Develop expertise in customizing WordPress themes and plugins using CSS, PHP, and advanced techniques like custom post types and widgets Implement robust security measures to protect your WordPress site from common vulnerabilities, such as brute force attacks and malicious code injections Optimize your website's performance through caching mechanisms, image optimization, and other techniques to enhance user experience and SEO rankings More advanced topics such as managing multisite networks, scalability and high availability to effectively scale your WordPress projects and handle high traffic volumesWho is it for: Web designers and developers to business owners looking to develop a webiste of their own as well as bloggers and hobbyists who are looking to design, launch and maintain a website whatever the project.

Embark on a journey to business evolution grounded in the real-world experiences and challenges faced by those at the forefront of the Web2 revolution. In a landscape where adaptability is paramount, this book is a guiding light amidst a sea of uncertainty. Crafted by seasoned Web2 professionals, it offers a unique perspective on transitioning from traditional cloud computing to decentralized technologies.Delving beyond theory, this book provides actionable insights and strategies to navigate the complexities of Distributed Ledger Technologies (DLTs). Rather than just discussing the implementation of DLTs, it explores the intricacies of execution, offering tangible guidance to facilitate a seamless transition to the decentralized landscape. Moreover, this book doesn't stop at transition-it's a blueprint for thriving in the Web3 era. By offering strategic perspectives and tactical advice, it equips businesses of all sizes to not only survive but flourish in the decentralized economy. Whether you're a startup poised for disruption or an established enterprise seeking innovation, 'Decentralized Business' empowers you to confidently embrace the future.The time for passive observation is over; the future of business is decentralized, and Decentralized Business is your guide to navigating this evolution. Join the ranks of forward-thinkers shaping tomorrow's economy-secure your copy now and begin the journey of transformation and opportunity.What You Will Learn Understand the foundational concepts of DLTs and their relevance to Web2 professionals. Review security considerations and best practices for implementing decentralized solutions. Apply strategies for integrating DLTs into existing cloud-based infrastructures.

This book is your guide to navigating the complex landscape of the semiconductor product industry. With the emerging benefits of artificial intelligence (AI), the semiconductor industry is at crossroads of unprecedented demand, touching almost every product in the modern world. The book takes into consideration the business development opportunities and guides you through technical and business details to help you gain a deep understanding of the semiconductor product management lifecycle.From transistors to modern AI accelerators, semiconductor products are fundamental contributors to technology and shape our future. Continuous research and development are pushing the boundaries of technology disruption and demanding capabilities in semiconductor products in almost all technological spaces. This book is a one-stop resource for delivering customer-centric solutions and it unveils the secrets to crafting the perfect semiconductor product.                           The book takes you through the impact of factors such as The Chips Act 2022 to reveal opportunities and challenges across semiconductor product industries. It provides a systematic framework for product managers and technology business leaders to define and implement semiconductor products with competitive advantage, using a robust competitive product strategy.This book demystifies the complex technical concepts in semiconductor architecture, manufacturing technology, and performance management via easy-to-understand, real-world examples.What You Will Learn Develop knowledge of semiconductor hardware architecture and software organization Dig into industry eco-system challenges, factors contributing to success, and failures of semiconductor products Know the secrets to defining competitive semiconductor product strategies and roadmaps Be aware of factors impacting semiconductor product manufacturing and performance management Understand the strategies of the key semiconductor product leaders in the industry Gain a detailed understanding of the design, development, positioning, pricing, and supply of semiconductor products

This comprehensive guide provides practical strategies for optimizing Generative AI systems to be more sustainable and responsible. As advances in Generative AI such as large language models accelerate, optimizing these resource-intensive workloads for efficiency and alignment with human values grows increasingly urgent.The book starts with the concept of Generative AI and its wide-ranging applications, while also delving into the environmental impact of AI workloads and the growing importance of adopting sustainable AI practices. It then delves into the fundamentals of efficient AI workload management, providing insights into understanding AI workload characteristics, measuring performance, and identifying bottlenecks and inefficiencies. Hardware optimization strategies are explored in detail, covering the selection of energy-efficient hardware, leveraging specialized AI accelerators, and optimizing hardware utilization and scheduling for sustainable operations. You are also guided through software optimization techniques tailored for Generative AI, including efficient model architecture, compression, and quantization methods, and optimization of software libraries and frameworks. Data management and preprocessing strategies are also addressed, emphasizing efficient data storage, cleaning, preprocessing, and augmentation techniques to enhance sustainability throughout the data life cycle. The book further explores model training and inference optimization, cloud and edge computing strategies for Generative AI, energy-efficient deployment and scaling techniques, and sustainable AI life cycle management practices, and concludes with real-world case studies and best practicesBy the end of this book, you will take away a toolkit of impactful steps you can implement to minimize the environmental harms and ethical risks of Generative AI. For organizations deploying any type of generative model at scale, this essential guide provides a blueprint for developing responsible AI systems that benefit society.What You Will Learn Understand how Generative AI can be more energy-efficient through improvements such as model compression, efficient architecture, hardware optimization, and carbon footprint tracking Know the techniques to minimize data usage, including evaluation, filtering, synthesis, few-shot learning, and monitoring data demands over time Understand spanning efficiency, data minimization, and alignment for comprehensive responsibility Know the methods for detecting, understanding, and mitigating algorithmic biases, ensuring diversity in data collection, and monitoring model fairness

Gain practical knowledge of application implementation using various programming approaches in predictive analytics. This book serves as a comprehensive guide for both beginners and professionals in the field of predictive analytics, offering core principles and practical insights without requiring an extensive mathematics or statistics background.The book starts with an introduction to analytics in decision making, protective analytics basics, and implementation in various industries. The book then takes you through types of regression, and simple linear regression in detail, followed by a demonstration of R Studio and SAS. Multiple Linear Regression is discussed next along with MLR model diagnostics. The book covers Multivariate Analysis and teaches you how to work with Principal Components Analysis, Factor Analysis, and much more. You also learn Time series Analysis with an understanding of Autoregressive Moving Average (ARMA) Models.After reading the book, you will be able to put predictive analytics principles into practice.What You Will Learn Understand modeling, estimating, and evaluating models for forecasting Implement Partial F-Test and Variable Selection Method Demonstrate each analysis model in R Studio and SAS Understand SLR and MLR Analysis models

This discounted two-book set contains both; Fundamentals of Image, Audio, and Video Processing Using MATLAB® and Fundamentals of Graphics Using MATLAB®.

This book introduces the computing, mathematical and engineering background to understand and develop the concept of the digital twin. It provides background in modeling/simulation, computing technology, sensor/actuators, and so forth, needed to develop the next generation of digital twins.

This handbook provides foundational, conceptual, and practical knowledge and understanding of inclusive education, special needs education. It highlights the need for preparing special educators and teachers for inclusive classrooms to effectively cater to the needs of students with diverse needs for countries globally.

This book is an essential guide for product managers seeking to harness the power of data to drive their product decisions. It is a detailed resource for developing and maintaining data literacy, a core skill for product managers.Through a structured approach supported by practical insights and illustrative examples, readers will learn to prioritize decisions based on quantitative data rather than intuition, understand core data concepts, and analyze and leverage data effectively.Product managers will discover how data can transform decision-making processes, enabling evidence-based selection, prioritization, and resource allocation for product features. By using customer feedback, user behavior data, market research, and performance metrics, product managers can foster a culture that leverages data to create successful products.This introductory primer and reference guide is indispensable for product managers aiming to integrate data-driven methodologies into their practice, ensuring their decisions are informed, strategic, and impactful.

As civilization rapidly evolves into a new radical post-pandemic era, organizations and leaders need to adapt, innovate, and reimagine the future. This guidebook offers insights and strategies for leaders to thrive in this new era, empowering them to embrace their roles as Neo-Innovators, Neo-managers, and Neo-futurists. It is a concise ¿how-tö guide for anyone who is (or wants to be) involved in the development of radical innovations that solve problems and exploit opportunities in the post-pandemic world. Featuring actionable advice and examples from generative AI and the influencer culture to humanoid robots, self-driving cars and age-slowing therapies, this book equips young and experienced innovators, innovation leaders, and practitioners with the essential tools and mindset to tackle challenges and explore opportunities in a dynamic innovative landscape.

Virtual-Reality-Technologie birgt große Potenziale, Forschung und Lehre geisteswissenschaftlicher Fächer nachhaltig zu bereichern. Ihr Einsatz in Hochschulen ist dabei längst nicht mehr nur eine technologische Fragestellung. Mit dem Medium Virtual Reality werden theorie- und methodenbezogene disziplinäre Praktiken aus einer neuen Perspektive befragt. VR wird schon heute für außergewöhnliche experimentelle Settings und zur Wissenserschließung bzgl. neuartiger multimodaler Erfahrungen eingesetzt. Die Beiträge des Sammelbands geben einen Einblick in aktuelle Studien diverser Disziplinen an verschiedenen Hochschulen Europas. Der Band leistet damit einen Impuls zur Nutzung und Untersuchung immersiver Technologien in digitalen Forschungs-, Lern- und Lebenswelten.

This volume provides a roadmap for the deployment of semantic technologies in the field of data science and enables the user to create intelligence through these technologies by exploring the opportunities and eradicating the challenges in the current and future time frame.

As data is an important asset for any organization, it is essential to apply semantic technologies in data science to fulfill the need of any organization. This volume of a two-volume handbook set provides a roadmap for new trends and future developments of data science with semantic technologies.

This book describes change management in the context of implementing AI in medicine and radiology. Why do many medical institutions struggle to use AI in their clinical practice? What are the essential steps for and before an effective implementation of AI in radiology workflow? How can AI implementation trigger enduring improvements in the clinical process? The book shows how change management is crucial to effectively introduce AI to medicine and radiology, transform healthcare delivery and ensure a smooth transition while maximizing the benefits of AI and minimizing potential disruptions.Change management in the context of AI in medicine and radiology involves a systematic approach to identify, plan, implement, and evaluate the integration of AI technologies into healthcare systems. It engages the necessary stakeholders at the appropriate points in the process to ensure that change is implemented properly. By effectively managing the change, healthcare organizations can harness the potential of AI to enhance patient care, improve diagnosis accuracy, and optimize operational efficiency in radiology and other medical specialties.Throughout this change management process, organizations should prioritize ethical considerations, data privacy, and regulatory compliance to ensure that AI technologies are deployed responsibly and in accordance with relevant guidelines and regulations.

In late 2022, the prominence of Natural Language Generation (NLG) surged with the advent of advanced language models like ChatGPT. While these developments have captivated both academic and commercial sectors, the focus has predominantly been on the latest innovations, often overlooking the rich history and foundational work in NLG. This book aims to provide a comprehensive overview of NLG, encompassing not only language models but also alternative approaches, user requirements, evaluation methods, safety and testing protocols, and practical applications. Drawing on decades of NLG research, the book is designed to be a valuable resource for both researchers and developers, offering insights that remain relevant far beyond the current technological landscape.Natural Language Generation focuses on data-to-text but also looks at other types of NLG including text summarization. The book takes a holistic approach to NLG, looking at requirements (what users are looking for), design, data issues, testing, evaluation, safety and ethical issues as well as technology. The holistic approach is unique to this book and is very valuable for people building real-world NLG systems, and for academics and researchers who are interested in applied NLG.The author, who previously co-authored a seminal NLG book in 2000, emphasizes high-level concepts and methodologies, ensuring the material's longevity and utility. The book is structured to balance technical depth with practical relevance, including chapters on rule-based and neural NLG approaches, user requirements, rigorous evaluation techniques, and safety considerations. Real-world applications, particularly in journalism, business intelligence, summarization, and medicine, are explored to illustrate NLG's potential and scalability. With personal anecdotes and examples from the author's experiences, this book provides a unique and engaging perspective on the evolving field of NLG, making it an indispensable guide for those looking to harness the power of language generation technologies.

This book has two heroes - the surgeon and the robot. The education system and intelligence can create a human who is specialized in surgery. While the accurate analysis of data with machine learning, AI, can create a more autonomous robot for surgery. Currently, robots still require human input in the decision-making loop, whether or not this will always be the case is an issue that still needs to be debated, analyzed and studied, preferably by computer scientists AND surgeons.Surgeons and their patients are increasingly opting for less invasive surgeries. However, among their many advantages, there is an important issue: less invasiveness always means limited access to direct information from the operating field (3D image, local palpation sensations, all information about the "whole" patient and feedback from the accompanying team during teleoperation). To increase precision, we are increasingly using surgical robots and mechatronic instruments. The less invasive the surgery and the greater the precision of robotic micro-instruments, the greater the role of artificial intelligence methods, especially machine learning, which supports the surgeon in making decisions, planning and performing the procedure.The development of artificial intelligence and further evidence of its effectiveness in various application fields mean that the work of a doctor is changing today. In the book, we address the issue of AI surgery, asking whether this means that an AI surgeon will be created? A key question about autonomous surgical robots will come up regularly: how far can we go with their autonomy while maintaining safe and effective procedures?The book provides useful information on both early successes, failures, and expectations related to the development of new technologies in surgery. It is a guide written by various experts, intended for a wide audience: from medical development planners, through students, to doctors and decision-makers.

Data projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies are still trying to solve problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more. Author Bartosz Konieczny guides you through the process of building reliable end-to-end data engineering projects, from data ingestion to data observability, focusing on data engineering design patterns that solve common business problems in a secure and storage-optimized manner. Each pattern includes a user-facing description of the problem, solutions, and consequences that place the pattern into the context of real-life scenarios. Throughout this journey, you'll use open source data tools and public cloud services to see how to put each pattern into practice. You'll learn: Challenges data engineers face and their impact on data systems How these challenges relate to data system components What data engineering patterns are for How to identify and fix issues with your current data components Technology-agnostic solutions to new and existing data projects How to implement patterns with Apache Airflow, Apache Spark, Apache Flink, and Delta Lake Bartosz Konieczny is a freelance data engineer who's been coding for more than 15 years. He's held various senior hands-on positions that helped him work on many data engineering problems in batch and stream processing.

In this practical book, authors John Walsh and Uzi Ailon provide conceptual frameworks, technology overviews, and practical code snippets to help DevSecOps engineers, cybersecurity engineers, security managers, and software developers address use cases across CI/CD pipelines, Kubernetes and cloud native, hybrid and multicloud, and more.

Virtualization, cloud, containers, server automation, and software-defined networking are meant to simplify IT operations. But many organizations adopting these technologies have found that it only leads to a faster-growing sprawl of unmanageable systems. This is where infrastructure as code can help. With this practical guide, author Kief Morris of ThoughtWorks shows you how to effectively use principles, practices, and patterns pioneered through the DevOps movement to manage cloud age infrastructure.Ideal for system administrators, infrastructure engineers, team leads, and architects, this book demonstrates various tools, techniques, and patterns you can use to implement infrastructure as code. In three parts, youll learn about the platforms and tooling involved in creating and configuring infrastructure elements, patterns for using these tools, and practices for making infrastructure as code work in your environment.Examine the pitfalls that organizations fall into when adopting the new generation of infrastructure technologiesUnderstand the capabilities and service models of dynamic infrastructure platformsLearn about tools that provide, provision, and configure core infrastructure resourcesExplore services and tools for managing a dynamic infrastructureLearn specific patterns and practices for provisioning servers, building server templates, and updating running servers

Numerical Methods for Engineering and Data Science guides students in implementing numerical methods in engineering and in assessing their limitations and accuracy, particularly using algorithms from the field of machine learning.

This book focuses on how to use various data mining techniques to develop real-world applications. It offers practical applications with a clear understanding of data mining concepts. The book also has a special chapter on case studies of data mining in practice.

To be sure, many men have accomplished much more in a two-year time span than this author, but probably not many so diverse as to what is recorded here. This memoir covers Dan's adventures in 1976 through 1978 while in his mid 40s. The title stems from his multiple sailboat races, including the exciting 1976 Transpacific yacht race to Hawaii, and his hot busy sandy years in Saudi Arabia working for IBM Corporation. He served as an expat at the giant ARAMCO oil company helping to manage their complex data processing needs. The book includes some Middle Eastern history, information about Islam and the Qur'an, plus a few trips to surrounding countries such as Kashmir, India, central Iran, France, and Northern Europe. A few love affairs are mentioned without too many details.