Data og IT

A unified introduction to information theory for scientistsApplications of information theory span a broad range of disciplines today. This book presents a unified treatment of the subject for students and practitioners in the sciences. It teaches the tools universally used by physicists working on quantum computers and black holes, engineers designing self-driving cars, traders perfecting market strategies, chemists playing with molecules, biologists studying cells and living beings, linguists analyzing languages, and neuroscientists figuring out how the brain works. No matter what area of science you specialize in, The Physical Nature of Information unlocks the power of information theory to test the limits imposed by uncertainty.Provides a panoramic approach to information theoryDraws on examples from physics, engineering, biology, economics, and linguisticsApplications range from thermodynamics and statistical mechanics to dynamical chaos, information and communication theories, and quantum informationIncludes materials for lectures and tutorials along with exercises with detailed solutionsCan be used to design a one-semester introductory courseIdeal for self-study by graduate students and advanced undergraduatesInvaluable for scholars seeking new research opportunities

Sie haben Interesse und Spaß an der App-Entwicklung mit Low-Code-/No-Code? In diesem Buch erhalten Sie einen strukturierten Einstieg in Power Fx, insbesondere in die Entwicklung von Canvas Apps in Power Apps. Neben Grundlagen der App-Entwicklung vermittelt Ihnen Dirk Larisch die Funktionen und Bedienung von Power Apps. Sie lernen Datentypen und Operatoren in Power Fx kennen, erstellen Prozeduren und Funktionen, benutzen Copilot und setzen JSON und YAML ein. Sie finden viele Praxisbeispiele sowie Tipps und Tricks zur Administration und erfahren, wie Sie Power Apps und andere Microsoft 365-Anwendungen (etwa Power Automate, Teams, SharePoint) kombinieren oder integrieren.

This concise yet comprehensive guide explains how to adopt a data lakehouse architecture to implement modern data platforms. It reviews the design considerations, challenges, and best practices for implementing a lakehouse and provides key insights into the ways that using a lakehouse can impact your data platform, from managing structured and unstructured data and supporting BI and AI/ML use cases to enabling more rigorous data governance and security measures. Practical Lakehouse Architecture shows you how to: Understand key lakehouse concepts and features like transaction support, time travel, and schema evolution Understand the differences between traditional and lakehouse data architectures Differentiate between various file formats and table formats Design lakehouse architecture layers for storage, compute, metadata management, and data consumption Implement data governance and data security within the platform Evaluate technologies and decide on the best technology stack to implement the lakehouse for your use case Make critical design decisions and address practical challenges to build a future-ready data platform Start your lakehouse implementation journey and migrate data from existing systems to the lakehouse

> > > The basic rules for classic charts that are used in 90% of business reports Exceptions to general rules based on real business cases Best practices for dashboard design How to properly set up interactions How to prepare data for advanced visuals How to avoid pitfalls with eye-catching charts

"Performance tuning is an experimental science, but that doesn't mean engineers should resort to guesswork and folklore to get the job done. Yet that's often the case. With this practical book, intermediate to advanced Java technologists working with complex platforms will learn how to tune Java cloud applications for performance using a quantitative, verifiable, and repeatable approach. In response to the ubiquity of cloud computing, this updated edition of Optimizing Cloud Native Java addresses topics that are key to high performance of Java applications in the cloud. Many resources on performance tend to focus on the theory and internals of Java virtual machines, but this book discusses the low-level technical aspects within the context of performance-tuning practicalities and examines a wide range of aspects. With this book, you will: Learn how Java principles and technology make the best use of modern hardware, operating systems, and cloud stacks; Examine the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarking; Understand how to package, deploy, operate, and debug Java/JVM applications in modern cloud environments; Apply emerging observability approaches to obtain deep understanding of cloud native applications"--

> Inside Cyber Warfare features an exclusive deep dive into the wartime operations of an offensive cyber unit of Ukraine's Ministry of Defense as it works to defend the nation against Russian forces, particularly since the 2022 invasion: See what happened when a Ukrainian cyber and special operations team worked together to destroy a secret missile laboratory Explore the legal status of cyber warfare and civilian hackers Discover how a cyber team with little money and limited resources learned to create fire from the manipulation of code in automated systems Distinguish reality from fiction regarding AI safety and existential risk Learn new strategies for keeping you and your loved ones safe in an increasingly complex and insecure world

The definitive guide to leveraging AWS for generative AI GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS. This comprehensive guide starts with the basics, making it accessible to both novices and seasoned professionals. You'll explore the history of artificial intelligence, understand the fundamentals of machine learning, and get acquainted with deep learning concepts. It also demonstrates how to harness AWS's extensive suite of generative AI tools effectively. Through practical examples and detailed explanations, the book empowers you to bring your generative AI projects to life on the AWS platform. In the book, you'll: Gain invaluable insights from practicing cloud and software engineers on developing cutting-edge generative AI applications using AWS Discover beginner-friendly introductions to AI and machine learning, coupled with advanced techniques for leveraging AWS's AI tools Learn from a resource that's ideal for a broad audience, from technical professionals like cloud engineers and software developers to non-technical business leaders looking to innovate with AI Whether you're a cloud engineer, software developer, business leader, or simply an AI enthusiast, GenAI on AWS is your gateway to mastering generative AI development on AWS. Seize this opportunity for an enduring competitive advantage in the rapidly evolving field of AI. Embark on your journey to building practical, impactful AI applications by grabbing a copy today.

Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial institutions lack a practical view of the concepts, problems, techniques, and technologies necessary to build a modern, reliable, and scalable financial data infrastructure. This is where financial data engineering is needed. A data engineer who specializes in finance not only has specific data engineering knowledge, but also a good understanding of financial domain-specific problems, approaches, data ecosystem, data providers, data formats, technological constraints, identifiers, entities, regulatory requirements, and governance. This book offers a comprehensive, practical, domain-driven approach to financial data engineering with real use cases, market practices, and hands-on projects. You'll learn: The data engineering landscape in the financial sector Specific problems encountered in financial data engineering Structure, players, and particularities of the financial data domain Approaches to designing financial data identification and entity systems Financial data governance frameworks, concepts, and best practices The financial data engineering lifecycle from ingestion to production The varieties and main characteristics of financial data workflows How to build financial data pipelines using open source and cloud technologies About the author: Tamer Khraisha is a senior software and data engineer and scientific author with over a decade of experience in the financial sector and academia.

With the increasing complexity of modern cloud-based systems, an effective enterprise architecture program is more critical than ever. In this practical book, author Tanu McCabe from Capital One provides proven frameworks and practices to define an effective enterprise architecture strategy--one that will enable software and enterprise architects to create and implement great architecture strategies. You'll learn how to create shared alignment across business and technology, embed architecture practices into processes and tooling, be proactive and reactive to technology and business trends, and instill contextual understanding over siloed decision-making. Complete with examples of patterns and antipatterns, this book provides reusable templates, assessment tools, and practical advice. With this book, you will: Understand exactly what enterprise architecture is, and why it's important to build an effective enterprise architecture practice Learn who needs to be involved to define and implement architecture strategies Examine common pitfalls that inhibit effective architecture strategies Assess the current state of your organization's architecture practice to identify opportunities for improvement Define your own architecture strategy at both an organizational and personal level by applying the book's frameworks Enhance your ability to make great architecture decisions using the book's frameworks and lessons learned Tanusree (Tanu) McCabe is an Executive Distinguished Engineer who leads enterprise architecture strategy at Capital One.

Want to speed up your data analysis and work with larger-than-memory datasets? Python Polars offers a blazingly fast, multithreaded, and elegant API for data loading, manipulation, and processing. With this hands-on guide, you'll walk through every aspect of Polars and learn how to tackle practical use cases using real-world datasets. Jeroen Janssens and Thijs Nieuwdorp from Xomnia in Amsterdam show you how this superfast DataFrame library is perfect for efficient data wrangling, ETL pipelines, and so much more. This book helps you quickly learn the syntax and understand Polars' underlying concepts. You don't need to have experience with pandas or Spark, but if you do, this book will help you make a smooth transition. With this definitive guide at your side, you'll be able to: Process larger-than-memory datasets at record speed Apply the eager, lazy, and streaming APIs of Polars and decide when to use them Transition smoothly from pandas or Spark to Polars Integrate Polars into your existing code base Work with Arrow and Parquet to efficiently read and write data Translate complex ETL tasks into efficient and elegant queries

If you're a developer looking to build a distributed, resilient, scalable, high-performance application, you may be evaluating distributed SQL and NoSQL solutions. Perhaps you're considering the Aerospike database. This practical book shows developers, architects, and engineers how to get the highly scalable and extremely low-latency Aerospike database up and running. You will learn how to power your globally distributed applications and take advantage of Aerospike's hybrid memory architecture with the real-time performance of in-memory plus dependable persistence. After reading this book, you'll be able to build applications that can process up to tens of millions of transactions per second for millions of concurrent users on any scale of data. This practical guide provides: Step-by-step instructions on installing and connecting to Aerospike A clear explanation of the programming models available All the advice you need to develop your Aerospike application Coverage of issues such as administration, connectors, consistency, and security Code examples and tutorials to get you up and running quickly And more

Discover how Delta Lake simplifies the process of building data lakehouses and data pipelines at scale. With this practical guide, data engineers, data scientists, and data analysts will explore key data reliability challenges and learn to apply modern data engineering and management techniques. You'll also understand how ACID transactions bring reliability to data lakehouses at scale. Authors Denny Lee, Prashanth Babu, Tristen Wentling, and Scott Haines explain how to harness the power of Delta Lake to increase your data productivity at scale. You'll learn how to run batch and streaming jobs concurrently on your data lake and accelerate the usability of your data by building effective and high-quality end-to-end pipelines, from data ingestion to analytics. This book helps you: Understand key data reliability challenges Examine data management and engineering techniques using the modern data stack Realize data reliability improvements using Delta Lake Concurrently run streaming and batch jobs against your data lake Execute update, delete, and merge commands Use time travel to rollback and examine previous versions of your data Build a streaming data quality pipeline following the medallion construct About the authors: Denny Lee is a Delta Lake maintainer and Apache Spark and MLflow contributor. Prashanth Babu is a Delta practitioner who works at Databricks. Tristen Wentling is a Delta practitioner who works at Databricks. Scott Haines is an Apache Spark and Delta Lake contributor who works at Nike.

The software architect role is evolving. As systems and distributed teams become more complex, it's often impossible for architects to be everywhere they need to be. To be effective, consultants and in-house architects alike have to move constantly from client to client or team to team to collaborate and work with code. And the situation is reaching a breaking point. There's a better way. Andrew Harmel-Law, tech principal at Thoughtworks, shows you how architects and development teams can collaborate effectively and efficiently on the architectures of their systems. Techniques in this book help you ensure that everyone and everything is working toward the same goal. You'll learn how to create a collaborative, decentralized mindset that allows everyone to do architecture and build the best systems they've ever experienced. With this book, you will: Understand the new dynamics that affect modern software delivery and how to take advantage of them to optimize for fast flow and continuous feedback Learn a methodology that brings software architecture and development together in partnership Nurture the fundamental interplay of decisions, advice, autonomy, and architecture Initiate practices and constraints that maximize benefits and mitigate risks Create an approach tuned to your skill sets, architecture, and your organization's engineering culture Identify and work to prevent failure modes when they threaten to arise

Data Analytics and Artificial Intelligence (AI) play an important role in Predictive Maintenance (PdM) within the manufacturing industry. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries.

This book examines the multitude of communication challenges that CISOs are faced with every day. Leading the Digital Workforce takes a fresh look at technology leadership, exploring how to lead and manage in today's digital workplace where the pace of change is exponential.

This book supports the deeper engagement of public lawyers in digital currency developments which threaten dramatic changes in the relationship between individuals and government authorities. It will be of interest to students, academics and practitioners with an interest in the law of digital currencies, constitutional law and politics.

The book: "COMPUTER NETWORKS IN PACKET TRACER FOR ADVANCED USERS" is a collection of scenarios and network simulations for users who already have at least basic knowledge of computer networks and experience in the work associated with the administration of basic devices, as well as management of network architecture.

Currently, the techniques of operation research are widely used in every aspect of day-to-day life. This book discusses a variety of problems that arises in various businesses and develops mathematical theories as well as technology answers to solve them from an industry perspective.

A comprehensive monograph chronicling the phenomenal rise of CryptoPunks - one of the world's first and most sought-after crypto collectibles and trailblazer for digital art and web3 culture.CryptoPunks: Free to Claim   explores the meteoric rise of a pre-eminent NFT collectible: what began as an experiment in digital ownership has become the catalyst for a digital art movement and a dynamic subculture synonymous with a new age of the internet. Minted on the Ethereum blockchain in 2017, the CryptoPunks - 10,000 uniquely generated pixel characters - have produced more than $2.3 billion in cumulative sales and entered the permanent collections of major institutions including LACMA and Centre Pompidou, meanwhile fostering a passionate and decentralized online community. All 10,000 CryptoPunks are presented in a special 400+ page catalogue raisonné within this book, with a comprehensive listing including Punk, number, type, colors, attributes and image hash. A timeline provides a zine-like assemblage of community member posts and tweets as they happened; while an extensive glossary defines more than 100 anonymously authored terms and ideas with guest contributions from Beeple, Emily Segal, Venkatesh Rao, and more. With an in-depth interview between Hans Ulrich Obrist (Artistic Director, Serpentine Galleries) and CryptoPunks founders Matt Hall and John Watkinson, this cult and category-defining book features a kaleidoscopic collection of texts, interviews, and visual essays exploring this emerging world of web3 and digital culture at large - inspiring a first wave of visual books on this groundbreaking subject. The book is for all levels of knowledge and features unique contributions from fascinating figures in tech, design, fashion, finance, and contemporary art including: Anika Meier, Alexis Ohanian, Mat Dryhurst, Noam Segal (Guggenheim), Philippe Bettinelli and Marcella Lista (Centre Pompidou), Michael Connor (Rhizome), Mindy Seu, Chris Lyons (a16z), Salome Asega (NEW INC), Simon Denny, Shumon Basar, Martina Tiefenthaler, Jack Butcher, Sean Bonner, 6529, among others.

Various modelling and control of two-link flexible manipulators are presented in this book. The lumped parameter modelling method and the assumed modes method modelling are comprehensively reviewed.

Silicon is the material of the digital revolution, of solar energy and of digital photography, which has revolutionized both astronomy and medical imaging. It is also the material of microelectromechanical systems (MEMS), indispensable components of smart objects. The discovery of the electronic and optoelectronic properties of germanium and silicon during the Second World War, followed by the invention of the transistor, ushered in the digital age. Although the first transistors were made from germanium, silicon eventually became the preferred material for these technologies. Silicon, From Sand to Chips 1 traces the history of the discoveries, inventions and developments in basic components and chips that these two materials enabled one after the other. The book is divided into two volumes and this first volume is devoted to basic microelectronic components.

Silicon is the material of the digital revolution, of solar energy and of digital photography, which has revolutionized both astronomy and medical imaging. It is also the material of microelectromechanical systems (MEMS), indispensable components of smart objects. The discovery of the electronic and optoelectronic properties of germanium and silicon during the Second World War, followed by the invention of the transistor, ushered in the digital age. Although the first transistors were made from germanium, silicon eventually became the preferred material for these technologies. Silicon, From Sand to Chips 2 traces the history of the discoveries, inventions and developments in basic components and chips that these two materials enabled one after the other. The book is divided into two volumes and this second volume is devoted to microelectronic and optoelectronic chips, solar cells and MEMS.

The use of digital technology in our societies is growing to meet the ever-increasing challenges of data collection, raising awareness, education and understanding nature. Artificial intelligence, for example, appears to be the answer to collecting massive amounts of data on biodiversity at a global scale and facilitating citizen participation in such data collection. Linking with Nature in the Digital Age explores the reconfiguration of our relationship with nature within this digital framework. This book examines this mediated linking from three angles. Firstly, it shows how digital technology can foster the development of links to nature. Then, it describes in greater detail the materiality of these links and how they have evolved with the developments in information technology. Finally, it questions the belief in the digital as a facilitator and opens up new perspectives on our relationship with nature and the living world

PHP 8+: Elevate your web development skills to new heights¿DESCRIPTION This comprehensive guide starts with the fundamentals and gradually progresses to advanced techniques. It provides a structured learning path with clear explanations, practical examples, and hands-on exercises, equipping you with the skills to build modern websites and interactive web applications.Explore what is new in PHP 8 with this comprehensive guide, excellent for web developers looking to start or refresh their skills and adopt the latest advances in PHP. From the fundamentals to advanced features, this book covers everything you need to know about PHP 8, including migrating from an old version of PHP, object-oriented programming, error handling, and database integration. With practical advice on security and performance best practices, it is an essential reading for those who want to stay ahead in the fast-paced world of web development.By the end of this comprehensive guide, you will be a confident PHP 8 developer with the knowledge and skills to build modern, secure, and performant web applications. You will be comfortable working with data structures, interacting with databases, and creating dynamic user experiences.WHAT YOU WILL LEARN¿ Understand the new features and improvements in PHP 8+.¿ Apply advanced object-oriented programming techniques in PHP.¿ Efficiently manage data using PHP for forms, sessions, and cookies.¿ Handle errors and exceptions in PHP to write robust code.¿ Implement secure practices and optimize PHP performance.¿ Connect to and manipulate databases with PHP for data persistence.WHO THIS BOOK IS FORThis book is written for web developers of all skill levels, from beginners to experienced programmers looking to refresh their knowledge with the latest PHP 8 features and best practices.

All you need to become Server+ certified!¿DESCRIPTION This book highlights, in simple language, the hardware, software, security, and administrative technologies readers should know to pass the CompTIA Server+ exam.This book starts with hardware architectures, and then inspects RAID configurations, SAN/NAS technologies, and maintenance tasks. It will simplify Windows Server, Linux distributions, and macOS Server, from installation to user management and service configuration. This book will also uncomplicate IP addressing, subnetting, VLANs, and virtualization with Hyper-V, VMware, and KVM. Through this book, the readers can implement robust security measures with encryption, access control, intrusion detection/prevention, and disaster recovery strategies. They can use scripts to automate, learn asset management techniques, and implement efficient backup and recovery solutions. This book also makes use of systematic methodologies and tools to diagnose and resolve hardware, software, network, and security issues.The Server+ certification indicates employers and the world that you have the skills and knowledge required to perform the duties of a network server administrator. WHAT YOU WILL LEARN¿ Gain the specific knowledge required to pass the CompTIA Server+ exam. ¿ Learn server administration concepts that apply to all systems.¿ Earn an industry recognized credential for server administrators.¿ Learn the specific duties and responsibilities of network server administrators. ¿ Use practice exams to prepare for the Server+ exam. WHO THIS BOOK IS FORWhile the CompTIA Server+ certification recommends that candidates have two to four years of hands-on experience, this book is written at a level that allows IT professionals with less experience to gain the knowledge required to pass the exam and become certified.

Empowering AI innovations: The fusion of microservices and ML¿DESCRIPTION Explore the link between microservices and ML in Microservices for Machine Learning. Through this book, you will learn to build scalable systems by understanding modular software construction principles. You will also discover ML algorithms and tools like TensorFlow and PyTorch for developing advanced models.It equips you with the technical know-how to design, implement, and manage high-performance ML applications using microservices architecture. It establishes a foundation in microservices principles and core ML concepts before diving into practical aspects. You will learn how to design ML-specific microservices, implement them using frameworks like Flask, and containerize them with Docker for scalability. Data management strategies for ML are explored, including techniques for real-time data ingestion and data versioning. This book also addresses crucial aspects of securing ML microservices and using CI/CD practices to streamline development and deployment. Finally, you will discover real-world use cases showcasing how ML microservices are revolutionizing various industries, alongside a glimpse into the exciting future trends shaping this evolving field.Additionally, you will learn how to implement ML microservices with practical examples in Java and Python. This book merges software engineering and AI, guiding readers through modern development challenges. It is a guide for innovators, boosting efficiency and leading the way to a future of impactful technology solutions.WHAT YOU WILL LEARN¿ Master the principles of microservices architecture for scalable software design.¿ Deploy ML microservices using cloud platforms like AWS and Azure for scalability. ¿ Ensure ML microservices security with best practices in data encryption and access control.¿ Utilize Docker and Kubernetes for efficient microservice containerization and orchestration.¿ Implement CI/CD pipelines for automated, reliable ML model deployments. WHO THIS BOOK IS FORThis book is for data scientists, ML engineers, data engineers, DevOps team, and cloud engineers who are responsible for delivering real-time, accurate, and reliable ML models into production.