Allgemein
Struktur statt Information
Struktur statt Information Wie Künstliche Intelligenz unser Denken verändert Die meisten Menschen glauben, sie hätten KI verstanden. Sie sehen darin entweder ein schnelles Tool oder eine Bedrohung. Beides ist ein Irrtum. Der entscheidende Engpass liegt nicht in der Technologie, sondern in der Art, wie wir denken und fragen. Wer KI nur als Informationsquelle nutzt, bleibt unter ihrem Potenzial. Wer lernt, mit ihr strukturiert zu arbeiten, gewinnt klare Entscheidungen, tiefere Einsichten und echte Handlungsfähigkeit. Dieses Buch ist keine weitere Technologie-Einführung. Es ist eine praxisnahe Reflexion aus langjähriger eigener Arbeit mit KI - Systemen. Veil Taron zeigt, warum Struktur wichtiger geworden ist als Information, wie man starke Prompts schreibt und welche Fähigkeiten in der KI - Zeit wirklich zählen. Mit einem realen Beispiel aus der Unternehmenspraxis und einem fertigen Prompt-Modell wird das Konzept unmittelbar anwendbar. Für alle, die mit KI arbeiten - und nicht nur schneller, sondern besser denken wollen. Verstehen. Hinterfragen. Sinnvoll nutzen.
Dialogflow CX
Dialogflow CX: Die nächste Evolutionsstufe der dialogorientierten KI – intelligenter, skalierbarer und produktionsreif Titel: Dialogflow CX: Entwicklung von Konversations-KI der nächsten Generation Beschreibung: Schöpfen Sie das volle Potenzial von Dialogflow CX aus – Googles Enterprise-Plattform für die Entwicklung, Bereitstellung und Skalierung fortschrittlicher Konversations-KI. Dieser umfassende Leitfaden führt Sie von den Grundlagen bis hin zu produktionsreifen Implementierungen und legt dabei besonderen Wert auf die Architektur, die Funktionen und die praktischen Anwendungsfälle von Dialogflow CX. Ausgehend von der Entwicklung der Konversations-KI und den entscheidenden Unterschieden zwischen Dialogflow ES und CX beleuchtet das Buch detailliert die Kernkomponenten von CX: Flows, Seiten, Fulfillment und Zustandsverwaltung. Sie erfahren, wie Natural Language Understanding (NLU) die Absichtserkennung, die Entitätsextraktion und kontextbezogene Dialoge ermöglicht und lernen, CX nahtlos in das Google Cloud Platform (GCP)-Ökosystem zu integrieren. Mit einem direkten Vergleich von Enterprise Service (ES) und Customer Experience (CX), praktischen Anwendungsfällen wie einem virtuellen Bankagenten und Expertenwissen zu Best Practices, Migrationsstrategien und häufigen Fallstricken ist dieses Buch Ihr Leitfaden für die Entwicklung skalierbarer, menschenähnlicher und geschäftstauglicher Chatbots und Sprachassistenten. Egal ob Entwickler, Architekt oder Produktmanager – Sie erwerben die notwendigen Fähigkeiten, um CX-Agenten zu entwerfen, zu optimieren und bereitzustellen, die herausragende Nutzererlebnisse bieten. Wichtigste Inhalte: Umfassende CX-Expertise – Von der Theorie bis zur Produktion, mit praktischen Beispielen. ES vs. CX verständlich erklärt – Wann Sie welches System einsetzen und wie Sie reibungslos migrieren. Praxisbeispiele – Fallstudien wie virtuelle Bankagenten veranschaulichen Best Practices. Zukunftssicherheit – Einblicke in die Zukunft von dialogbasierter KI und Dialogflow CX. Ideal für: Entwickler von Chatbots/Sprachassistenten. Architekten von Systemen für dialogbasierte KI. Produktmanager evaluieren CX für den Unternehmenseinsatz. Technische Führungskräfte planen Migrationen von ES zu CX.
Basics of Hospitality Information Technology
This book was written not a technical manual for IT specialists, but a management book for hospitality students, future executives, General Managers, asset managers, consultants and professionals who need to understand how technology affects hotel operations, guest experience, cybersecurity, compliance, financial decisions and strategic leadership. Hospitality has always been a human industry, and it will always remain so. However, the systems that support hospitality have become increasingly digital. A hotel manager does not need to become an engineer, but must understand the business consequences of technology decisions. Poor WiFi, a PMS failure, weak cybersecurity, uncontrolled data, badly evaluated AI or poorly governed IT investments are not only technical problems. They are service, revenue, trust and leadership issues. The ambition of this book is simple: to make hospitality technology understandable, practical and executive-oriented. The reader should be able to speak more confidently with IT teams, vendors, owners, asset managers and operational leaders. More importantly, the reader should understand that technology only has value when it serves hospitality. This book is written for students preparing to enter the industry, but also for professionals who wish to strengthen their understanding of hotel technology from a managerial perspective. It is a bridge between the classroom, the hotel floor and the executive meeting room.
Artificial Intelligence-Driven Decision Support Framework for Improving Energy Efficiency in Industry and Transportation
Energy-intensive sectors such as industry and transportation are vital to economic development, yet remain major contributors to global energy consumption and greenhouse gas emissions. Enhancing their energy efficiency is essential to achieving climate resilience and meeting decarbonization goals. Despite abundant operational and sensor data, decision-making in these sectors often relies on heuristics and lacks systematic, transparent, and explainable analytical support. Existing Artificial Intelligence (AI)-based decision support methods frequently fall short in integrating robust data preprocessing, causal interpretation, and actionable recommendation generation, limiting their practical impact. This book develops and validates an AI-driven decision support framework to improve energy efficiency in energy-intensive industrial and transportation systems. Guided by a three-cycle Design Science Research (DSR) methodology, the framework integrates complementary AI techniques into a modular, end-to-end architecture that transforms heterogeneous raw data into interpretable, actionable recommendations. It includes systematic data quality assessment and preprocessing pipelines, time-series segmentation, clustering key performance indicators for pattern recognition, causal inference methods to identify drivers of inefficiency, and a multimodal large language model (LLM)-based decision support module that translates analytical outcomes into domain-relevant strategies.
Angular
In diesem Praxiseinstieg lernst du Angular inklusive der modernen APIs und Konzepte kennen. Mit einem durchgängigen Beispielprojekt führen die Autoren dich durch die Welt von Angular.Du entwickelst und testest Schritt für Schritt eine professionelle, modulare und barrierefreie Single-Page-Anwendung und lernst Angular im praktischen Einsatz kennen. Auf jeden Umsetzungsschritt folgen außerdem umfangreiche Unit- und Integrationstests. Ausführliche Theorieteile runden das Buch ab und machen es zu deinem praktischen Begleiter im Entwicklungsalltag.Aus dem Inhalt:Komponenten und Dependency InjectionControl Flow mit @if, @for und @letProperty und Event BindingsSignals, Computed und Linked SignalsHTTP Client & Resource APIRouting und Lazy LoadingFormularverarbeitung mit Signal FormsPipes und Custom PipesReaktive Programmierung mit RxJSBarrierefreiheit (a11y)Testing und DeploymentKI-Unterstützung für AngularGrundkenntnisse in JavaScript und HTML sollten vorhanden sein. Erfahrungen im Umgang mit TypeScript sind von Vorteil, aber keine Voraussetzung. Auf der Website zum Buch werden außerdem regelmäßig Zusatzmaterialien und Neuigkeiten rund um Angular veröffentlicht.
KI-Agenten entwickeln
Der Praxisleitfaden für leistungsstarke KI-Agentensysteme •Lernen Sie die Kernkomponenten und Entwurfsprinzipien von KI-Agenten kennen: Dieses Buch stellt Ihnen die Werkzeuge vor, mit denen Sie effizient vom Konzept zur Lösung gelangen •Behandelt alle relevanten aktuellen Frameworks und Technologien im Bereich agentischer Systeme und hilft bei der Auswahl •Die zahlreichen Codebeispiele zeigen reale Anwendungsszenarien; Use Cases illustrieren die unterschiedlichen Einsatzgebiete für KI-Agenten •Beschreibt auch das Model Context Protokol (MCP) und das Agent-to-Agent-Protokoll KI-Agenten verändern rasant die Art und Weise, wie intelligente Anwendungen entworfen, gebaut und skaliert werden. Dieses Buch bietet einen klar strukturierten Rahmen, um robuste Agentensysteme zu entwickeln. Es zeigt, was moderne KI-Agenten ausmacht, welche Strategien für Planung, Ausführung und Toolnutzung funktionieren und wie Agenten durch Finetuning und Transfer Learning aus Erfahrung lernen. Michael Albada liefert damit fundierte Antworten auf die Fragen, die in der Praxis wirklich zählen. Darüber hinaus führt das Buch in die Skalierung von Single- zu Multi-Agent-Systemen ein und beleuchtet dabei bewährte Muster wie demokratische, hierarchische und Akteur-Kritiker-Ansätze. Es vermittelt, wie man Agenten mit geeigneten Metriken bewertet, in Produktion überwacht und sicher, ethisch und regelkonform betreibt. Mit prägnanten Fallstudien aus Bereichen wie Kundensupport, Recht, Werbung und Code-Review bietet dieses Buch das nötige Rüstzeug, um KI-Agenten gezielt und wirkungsvoll einzusetzen.
KI-Agenten entwickeln
Entwurf, Implementierung, Monitoring. Der Praxisleitfaden für leistungsstarke KI-Agentensysteme. In Erstauflage von O'Reilly aus dem Mai 2026.KI-Agenten verändern rasant die Art und Weise, wie intelligente Anwendungen entworfen, gebaut und skaliert werden. Dieses Buch bietet einen klar strukturierten Rahmen, um robuste Agentensysteme zu entwickeln. Es zeigt, was moderne KI-Agenten ausmacht, welche Strategien für Planung, Ausführung und Toolnutzung funktionieren und wie Agenten durch Finetuning und Transfer Learning aus Erfahrung lernen. Michael Albada liefert damit fundierte Antworten auf die Fragen, die in der Praxis wirklich zählen.Darüber hinaus führt das Buch in die Skalierung von Single- zu Multi-Agent-Systemen ein und beleuchtet dabei bewährte Muster wie demokratische, hierarchische und Akteur-Kritiker-Ansätze. Es vermittelt, wie man Agenten mit geeigneten Metriken bewertet, in Produktion überwacht und sicher, ethisch und regelkonform betreibt. Mit prägnanten Fallstudien aus Bereichen wie Kundensupport, Recht, Werbung und Code-Review bietet dieses Buch das nötige Rüstzeug, um KI-Agenten gezielt und wirkungsvoll einzusetzen. Lernen Sie die Kernkomponenten und Entwurfsprinzipien von KI-Agenten kennen: Dieses Buch stellt Ihnen die Werkzeuge vor, mit denen Sie effizient vom Konzept zur Lösung gelangen Behandelt alle relevanten aktuellen Frameworks und Technologien im Bereich agentischer Systeme und hilft bei der Auswahl Die zahlreichen Codebeispiele zeigen reale Anwendungsszenarien; Use Cases illustrieren die unterschiedlichen Einsatzgebiete für KI-Agenten Beschreibt auch das Model Context Protokol (MCP) und das Agent-to-Agent-Protokoll Über den Autor:Michael Albada ist Machine Learning Engineer mit langjähriger Erfahrung in der Konzeption, Entwicklung und Bereitstellung groß angelegter Lösungen für maschinelles Lernen bei Microsoft, Uber und ServiceNow. Er verfügt über Expertise in den Bereichen LLMs, Reasoning-Modelle, Finetuning, Empfehlungssysteme, Geodatenmodellierung und Multi-Agenten-Systeme für Cybersicherheit. Er hat einen B.A. der Stanford University, einen M.Phil. der University of Cambridge sowie einen M.S. der Georgia Tech.
Governance in Microsoft 365 Copilot & Copilot Studio
This pocket guide is a concise, field-ready reference for IT leaders, administrators, and architects responsible for governing Microsoft 365 Copilot and Copilot Studio deployments. As AI evolves from simple assistants to autonomous digital colleagues, governance is no longer optional—it’s the backbone of secure, compliant, and value-driven adoption. Covering both platforms, this guide shows how to define effective policies, controls, and monitoring frameworks that protect organizational data while enabling innovation. Drawing from Microsoft’s latest governance models, enterprise case studies, and real-world best practices, it translates complex principles into clear, actionable steps to help organizations scale AI responsibly. What You Will Learn: Design and implement a governance framework for M365 Copilot and Copilot StudioConfigure sensitivity labels, DLP policies, and lifecycle management to protect organizational data in AI workflowsApply environment strategy, role-based access control, and ALM to Copilot Studio agentsMeasure, monitor, and optimize AI agent performance, cost, and complianceBalance innovation with guardrails using models like Microsoft’s Zoned Governance
Decoding Platform Engineering Patterns
Technology platforms are the backbone of digital transformation, but success isn’t just about building technology, it’s about architecting lasting impact. Many organizations struggle with complexity, scalability, and adoption, often repeating mistakes that lead to technical debt and missed opportunities. This book identifies common pitfalls and failed patterns in software platforms while highlighting the key success factors that set thriving platforms apart. Through industry case studies, you’ll receive a clear, strategic blueprint for designing, scaling, and sustaining platforms that drive tangible results. Breaking down the fundamentals of platform engineering, this book debunks myths and clarifies what truly makes a software platform successful. It offers step-by-step guidance on designing scalable, technology-agnostic, and user-friendly platforms, covering proven architectural patterns, governance models, and integration strategies. Beyond technical design, the book focuses on platform ownership and future-proofing digital products. You’ll learn how to optimize developer and user experience, ensuring security and compliance, and driving adoption and monetization. Decoding Platform Engineering Patterns will provide you with the tools, frameworks, and confidence to build platforms that drive business value and stand the test of time. You Will Learn to: Understand why platforms succeed or fail and how to measure their real impact.Apply a clear, practical framework to align platform strategy with business goals and technology decisionsBuild platforms as products, the living systems that evolve through feedback, governance, and culture rather than one-off deliveryDevelop scalable, technology-agnostic, and user-friendly platforms that are built to lastGain practical insight into platform lifecycle management, security, compliance, and long-term sustainability in an AI-driven worldDesign developer-friendly platforms that improve usability, adoption, and monetisationAnalyse successful platform strategies to understand how leading organizations drive platform-led innovation Who This Book Is For Software developers, engineers, product managers, designers, and tech leaders who are seeking a comprehensive framework to build future-proof platforms that evolve with business and market changes.
Container Network Interface (CNI)-Plugins
CNI-Plugins einfach erklärt: Netzwerke für Container in Docker und Kubernetes meistern – von der Theorie zur Praxis. Titel: Container Network Interfaces (CNIs) meistern: Ein praktischer Leitfaden für Verständnis, Auswahl und Implementierung von Netzwerklösungen Tauchen Sie mit diesem umfassenden Leitfaden in die Welt der Container Network Interfaces (CNIs) ein. Er wurde entwickelt, um Ihnen ein realistisches, praxisorientiertes Verständnis dafür zu vermitteln, wie CNIs moderne containerisierte Umgebungen antreiben. Ganz gleich, ob Sie Entwickler, DevOps-Engineer oder Cloud-Architekt sind: Dieses Buch entmystifiziert die Komplexität der Containernetzwerke und versetzt Sie in die Lage, CNI-Plugins souverän zu entwerfen, bereitzustellen und Fehler in ihnen zu beheben. Von den Grundlagen – warum CNIs unverzichtbar sind – bis hin zu fortgeschrittenen Implementierungsstrategien baut jedes Kapitel Ihr Wissen durch klare Erklärungen, praxisnahe Beispiele und direkt umsetzbare Befehle weiter aus. Am Ende verstehen Sie nicht nur das „Was“ und „Warum“ hinter CNIs, sondern auch das „Wie“ – und können so fundierte Entscheidungen für Ihre Projekte treffen. Was erwartet Sie im Buch? 6 Kapitel, die Ihr Verständnis von CNIs revolutionieren Warum benötigen wir CNIs? Entdecken Sie die zentralen Herausforderungen der Containernetzwerke und erfahren Sie, wie CNIs diese lösen. Erkunden Sie die Grenzen traditioneller Netzwerkmodelle und den Aufstieg von CNIs als Standard für eine dynamische, skalierbare Containerkommunikation. Docker Swarm CNIs Ein tiefer Einblick in CNI-Plugins, die speziell auf Docker Swarm zugeschnitten sind. Erfahren Sie, wie Swarm mit CNIs integriert wird, welche besonderen Anforderungen Overlay-Netzwerke stellen und welche Best Practices für die Multi-Host-Kommunikation gelten. Kubernetes CNIs Meistern Sie die CNI-Landschaft in Kubernetes. Vergleichen Sie beliebte Plugins (Calico, Flannel, Cilium und weitere), verstehen Sie deren Architekturen und entdecken Sie, wie Sie diese optimal auf die Anforderungen Ihres Clusters abstimmen – sei es in puncto Leistung, Sicherheit oder Einfachheit. Die richtige Wahl treffen Navigieren Sie mithilfe eines strukturierten Rahmens sicher durch den Entscheidungsprozess. Bewerten Sie CNI-Plugins auf der Grundlage konkreter Anwendungsfälle (z. B. hohe Leistung, Sicherheit oder Multi-Cloud-Szenarien) und lernen Sie, wie Sie Ihre Auswahl vor der eigentlichen Bereitstellung testen und validieren. Häufige Fallstricke und Profi-Tipps Vermeiden Sie kostspielige Fehler dank Erkenntnissen aus realen Implementierungsprojekten. Von falsch
Ich bin kein Roboter
Wir dachten, Künstliche Intelligenz sei ein Chatbot, der unsere Fragen beantwortet. Doch während wir noch lernten, die richtigen Prompts zu schreiben, hat sich die Technologie weiterentwickelt. Die Ära der autonomen KI-Agenten hat begonnen. Sie antworten nicht mehr nur, sie handeln. Sie buchen Flüge, schreiben Code, verhandeln Verträge und steuern ganze Unternehmensprozesse. In "Ich bin kein Roboter" nimmt dich der Digitalunternehmer und KI-Experte Roger Basler de Roca mit auf eine Reise hinter die Kulissen dieser neuen Realität. Am Beispiel des viralen Open-Source-Agenten "OpenClaw" zeigt er auf, wie schnell sich die Spielregeln aktuell ändern. Warum werden klassische Apps bald verschwinden? Welche Sicherheitsrisiken bringen autonome Agenten mit sich? Und vor allem: Wie können Unternehmen und Einzelpersonen diese Entwicklung nutzen, anstatt von ihr überrollt zu werden? Dieses Buch ist kein dystopischer Science-Fiction-Roman und auch kein blinder Technologie-Hype. Es ist ein faktenbasierter Realitätscheck und ein inspirierendes Manifest für die Zukunft der Arbeit. Es zeigt dir, wie du vom reinen Konsumenten zum Co-Creator wirst und warum die wichtigste Fähigkeit im Zeitalter der Maschinen das menschliche Denken bleibt.
CompTIA Network+ (N10-009) Certification Companion
This book is a comprehensive and approachable guide designed to help learners master the skills required for the CompTIA Network+ (N10-009) exam and succeed in real-world networking roles. Authored with clarity and structured for progressive learning, this companion serves as both a study tool and a practical foundation for IT professionals. It begins by introducing the purpose and value of the Network+ certification, emphasizing its vendor-neutral advantage and relevance to diverse IT environments. Readers are encouraged with clear career pathways and strategic study practices, including lab work, flashcards, and structured reviews. Each chapter methodically breaks down one of the core domains of the certification exam. Topics include fundamental networking concepts, network implementations, operations, security, and troubleshooting. Learners are also guided through IP addressing, routing, and the protocols that power both wired and wireless communications. Rich visual diagrams—such as the TCP/IP model and certification flowcharts—enhance understanding of complex ideas. Later chapters cover network services like DNS, DHCP, and NTP, before diving into advanced concepts like subnetting, routing protocols, and NAT. The final chapter explores emerging technologies including Software Defined Networking (SDN), Network Function Virtualization (NFV), Internet of Things (IoT) systems, and 5G wireless evolution. What You Will Learn: Summaries, exam tips, and real-world context to reinforce knowledge and boost exam readiness. The technical skills and the confidence needed to succeed in IT networking roles.Networking fundamentals, including components, networking models, and common protocols and portsNetwork implementations, including types and standardsNetwork operations, including documentation, change management, disaster recovery planning, and network monitoringNetwork security, including common security threats and vulnerabilities, authentication methods and encryption, and network hardening techniques Who this book is for: All readers curious to learn more about the IT field, specifically those looking towards Networking or the CompTIA Network+ certification.
Zustandsbehaftete und zustandslose Dienste in Python
Erfahren Sie, wie Sie zustandsbehaftete und zustandslose Dienste in Python entwickeln! Dieser praktische Leitfaden erklärt die Unterschiede, Vorteile und Implementierung beider Ansätze – ideal für Backend-Entwickler und Softwarearchitekten. Verwandeln Sie komplexe verteilte Systeme in einen gut organisierten Food Court! Fällt es Ihnen schwer, das Konzept der Microservices zu durchdringen? Stellen Sie sich diese wie einen geschäftigen Food Court vor: Jeder Stand (Service) ist auf eine bestimmte Sache spezialisiert – Pizza, Burger, Smoothies –, arbeitet völlig eigenständig, kooperiert aber nahtlos mit den anderen. Manche Stände merken sich Ihre Vorlieben (zustandsbehaftet/stateful), während andere jede Bestellung so behandeln, als wäre sie völlig neu (zustandslos/stateless). Dieses Buch entmystifiziert Microservices mithilfe dieser intuitiven Analogie und macht verteilte Systeme zugänglich, praxisnah und unterhaltsam. Was Sie entwickeln werden: Zustandslose Services (wie ein Café): Eine Python-Rechner-API, die Anfragen ohne Gedächtnis verarbeitet – skalierbar, simpel und blitzschnell. Zustandsbehaftete Services (wie eine Bibliothek): Ein Warenkorbsystem, das Redis nutzt, um Benutzersitzungen über mehrere Anfragen hinweg zu speichern. Docker-Container: Verpacken Sie Ihre Services, um eine konsistente Ausführung in jeder Umgebung zu gewährleisten. Deployment auf der Google Cloud Platform (GCP): Stellen Sie zustandslose Services auf Cloud Run und zustandsbehaftete Services mithilfe von Memorystore (Redis) bereit – inklusive Schritt-für-Schritt-Anleitungen für produktionsreife Setups. Warum dieses Buch? Keine Vorkenntnisse erforderlich: Lediglich grundlegende Python-Kenntnisse und Neugier genügen. Praxisorientiertes Lernen: Entwickeln, testen und deployen Sie zwei komplette Microservices von Grund auf neu. Szenarien aus der Praxis: Erfahren Sie anhand von Beispielen von Netflix, Uber und Spotify, wann zustandslose und wann zustandsbehaftete Architekturen die richtige Wahl sind. Cloud-Native: Meistern Sie GCP-Tools wie Cloud Run, Memorystore und VPC-Konnektoren für sichere und skalierbare Deployments. Produktionsreif: Das Buch behandelt Themen wie Monitoring, Logging, Sicherheit und Kostenoptimierung für den Einsatz in realen Anwendungen. Für wen ist dieses Buch gedacht? Python-Entwickler, die bereit sind, über monolithische Architekturen hinauszuwachsen. Cloud-Engineers, die GCP für Microservices-Projekte erkunden möchten. Einsteiger, die eine praxisnahe, analogiegestützte Einführung in verteilte Systeme suchen. Jeder, der sich bisher von Microservices eingeschüchtert fühlte und nun eine klare, umsetzbare Anleitung wünscht.
Pro Microsoft Hyper-V
Successfully create and manage your Hyper-V environment without any of the marketing fluff. This book's lab-driven, hands-on approach will get you up and running as quickly and efficiently as possible. Virtualization is the cornerstone of today’s data center. As a modern-day IT pro, you are required to manage environments that are in a regular state of flux and increasing in both size and complexity. To keep up, you need practical information in a format that is succinct, yet comprehensive and highly applicable. Pro Microsoft Hyper-V breaks down critical and time-saving topics into a series of easy-to-digest chapters, showing you how to perform Hyper-V management tasks using both GUI and PowerShell-based tools. Building on your existing knowledge of Windows Server management, Active Directory, networking, and storage, expert and Microsoft MVP Eric Siron begins with a foundation of why computing workloads are virtualized. This is followed by chapters covering the range of management tasks associated with virtualized environments, including: managing hosts and guest machines; networking, storage, and high availability (host and guest); disaster recovery and virtual machine migration; and monitoring. What You'll Learn Apply practical information to administer your Hyper-V environmentsUnderstand multiple administration styles (GUI, command line, and automation)Written by IT pros for IT pros – just the information you really need without the paddingAdminister and use containersUtilize hands-on labs to learn about storage, networking, and high availability Who This Book Is For IT administrators tasked with implementing Hyper-V environments or migrating from VMware. IT pros joining a team that is responsible for managing Hyper-V and “lone administrators” covering the gamut in smaller organizations will also find this book indispensable. New To This Edition Checkpoints: automatic checkpoints, backup checkpointsMonitoring: SCOM, CIM, third partyMigration: Compare VM, remove instructions for MSVMC but leave references (it is long out of support and may cause problems)Security: firewall, antivirus, domain membership, workgroup, isolated, SMB: auth rate, SMB: signing, SMB: disable NTLM, SMB: dialect control, shielded VMs replaced with Azure Confidential Computing, secure bootAzure Stack HCI, Azure EditionManagement: add ARCStorage: ReFSClustering: cluster-aware updating, dynamic processor capabilities, workgroup clusters, rolling cluster upgradesConfiguration: GPU partitioning and Direct Device AssignmentAdvanced: CIM, nested virtualizationNetworking: Receive Segment Coalescing, Switch Embedded Teaming, Software Defined Networking
Launching Enterprise Products
Launching Enterprise Products is your guide to building enterprise platforms from the ground up. If you’ve ever faced the challenge of creating complex products amidst ambiguity and scale, this book delivers a practical playbook drawn from real-world experience. Learn how to define user-centric strategies in dynamic environments, align cross-functional teams without stalling momentum, and make sound decisions—even when data is messy or incomplete. Packed with actionable frameworks, case studies, and reflective exercises, this guide helps you move from concept to launch under real-world constraints. You'll discover how to architect scalable systems, design for long-term resilience, and lay the foundations for sustainable growth. Whether you're leading a new product initiative or formalizing structure within an existing team, Launching Enterprise Products equips you with the mindset and tools to build products that ship and thrive. You Will: Learn how to define and evolve enterprise product strategies in uncertain, fast-changing environmentsUnderstand techniques for aligning stakeholders across engineering, design, sales, and leadership without losing velocityTackle real-world approaches to validating product-market fit within large organizations or regulated industries This book is for: Product Managers (PM, Senior PM, Staff/Group), Product leaders and Engineering managers
The Copilot Compass
In a world where AI is rapidly becoming embedded in everyday tools, this book helps you cut through the noise to understand Microsoft’s growing Copilot ecosystem and confidently choose the right tool for the right task. You’ll start by untangling the different Copilot experiences in Microsoft 365. From there, you’ll explore agents, learning why they matter and how they enable powerful automation without requiring deep coding skills. Along the way, you’ll get plain-language explanations of the buzzwords that make this space feel overwhelming and a realistic view of what AI can and can’t do. By the end of the book, you won’t just know the difference between a bot, a workflow, and an agent; you’ll know exactly when each is the right choice and how to apply them with confidence. What You will Learn: • Choose the right Copilot or agent for specific business scenarios • Understand how large language models work behind the scenes • Interpret common AI terminology without the jargon • Distinguish between bots, workflows, and agents and when to use each • Identify strong AI use cases and avoid common pitfalls Who This Book Is For Business users, developers and Power Platform makers
Data Engineering with Generative and Agentic AI on AWS
Unlock the future of cloud data engineering with generative and agentic AI on AWS. This hands-on guide shows you how to build intelligent, responsive data platforms using cutting-edge AI capabilities and modern AWS services. Learn to design next-generation data architectures—from data lakes and data mesh to scalable pipelines and real-time analytics. Discover how generative AI and agentic automation are transforming every aspect of enterprise data work: ingesting unstructured data, enabling semantic search with Retrieval-Augmented Generation (RAG), building autonomous data agents, and using natural language interfaces to turn business questions into instant insights. Author Justin J. Leto, PE, MBA, PMP, is a Principal Solutions Architect at AWS with over 20 years of experience in data engineering and AI. He doesn't just teach today's techniques—he prepares you for the future disruptions reshaping the field. His book is essential reading for current and aspiring data engineers, data analysts, data architects, engineering managers, CTOs, CDOs, and data-focused entrepreneurs looking to gain an edge over the competition. What You Will Learn: Master the core principles and practices of data engineering to build a long, successful career in the field.Accelerate your impact using AWS cloud services for scalable, modern data solutions.Explore how the role of the modern data engineer is evolving to support generative and agentic AI use cases.Develop a modern data strategy by working backwards from business goals to gain buy-in from CxO-level leadership.Design and deploy modern data architectures—including data lakes, data mesh, and data marts—and understand when to use each.Apply generative and agentic AI to enhance every stage of the data engineering lifecycle.Evaluate emerging data and AI technologies using proven methodology to separate real value from hype.Prepare for the future of data engineering powered by autonomous agents that scale enterprise impact. Who this Book Is For: Data engineers, analysts, architects, and tech leaders seeking practical guidance on AWS data engineering and generative AI, with or without prior cloud experience.
Industrial AI: from Pilot to Profit
Navigate the Specifics of Industrial AI Investment cycles in machinery, a fragmented supply chain for automation technology, brownfield data access challenges, and reliability concerns are just some of the headwinds anyone with high ambitions to deploy AI in industry faces. “Industrial AI: from Pilot to Profit” provides comprehensive insights for riding the AI wave, despite the uncompromising realities of industrial environments. Whether directing a startup strategy or launching corporate AI initiatives, this book is instrumental in steering teams towards successful industrial-grade AI approaches. Familiarize yourself with foundational concepts – from digital twins and the industrial metaverse to process mining and agentic AI. Gain insights into establishing key AI capabilities such as access to data, technology, and talent. Navigate adoption hurdles such as brownfield environments, legacy integration, and the physical constraints of industrial assets. Get inspired by more than 100 solution briefs across all enterprise functions as starting points for your AI initiatives.
Value by Design with Microsoft Copilot Studio
Unlock the true potential of Microsoft Power Platform and AI with a design-led approach to building AI-powered solutions that are strategically aligned, human-centric, and built for lasting impact. The book takes you on a practical journey from strategy to execution, showing how to unlock measurable business impact with AI agents and the Microsoft Power Platform. You’ll start by redefining what “value” truly means in the age of AI, then learn how to align use cases with strategic goals and model them into strong business cases. The book helps you choose the right type of agent, platform, and design approach—whether you're prompting, fine-tuning, or orchestrating solutions. With a strong focus on human-centered design, you'll explore how to augment rather than just automate work, build trust, and ensure ethical adoption in Power Platform. You'll then accelerate delivery with reusable assets, monitor performance through telemetry and feedback loops, and learn how to confidently communicate success to stakeholders. Finally, you'll explore how AI agents are reshaping roles, teams, and the future of work—positioning Power Platform as a foundation for ongoing innovation and value at scale. What You Will Learn: Identify the hot spots in your business where AI and low-code deliver the greatest impact – from high-friction processes to underutilized data.Align AI investments with strategic goals, ensuring every agent you build supports real business priorities, not just technical possibilities.Design the right kind of agent – from simple copilots to advanced orchestrators – using a framework that maps need to intelligence patterns.Use agent framing to drive clarity in scope and purpose Who This Book Is For: Product Managers, Strategists, Architects, Business Analysts, Administrators
A Friendly Guide to Developer Advocacy
This book teaches you everything you need to know to become a developer advocate, land yourself a job, do the job, and build a thriving career. Containing practical knowledge on how to do the developer advocacy job successfully to generate value for your organization and users, the book will be your guide and handbook for the first ninety days of your role. The book begins with an introduction to developer advocacy, where you will gain an understanding of the fundamentals of what developer advocacy is and what is expected from a developer advocate in companies and enterprises. This is followed by deep dives on formulating and implementing your strategies as a developer advocate from the ground-up. This section will teach you how to create engaging content for developers with an emphasis on various AI tools you can use in your work. The next chapter will delve into building communities – a crucial aspect of your work as a developer advocate. You will gain expertise in building and maintaining communities of developers which will be invaluable to your company. The final section of the book is devoted to helping you land a job as developer advocate. It gives you tips and game plans you can use to break into the field and succeed. The book is supplemented by extensive interviews with experts which will give you practical advice as well as make the job of a developer advocate relatable and accessible. Whether you’re an aspiring developer advocate, a newly hired one, or already in the role and looking to level up, this book will help you avoid the guesswork and build a thriving career in developer advocacy. It’s the kind of book that will support you at every stage and one you’ll return to whenever you need clarity or a fresh perspective. You Will Learn: Prepare yourself for a developer advocacy jobBuild a compelling portfolio and resume, identify red flags during interviews, and stand out during the hiring processClarify expectations, build key relationships, and understand your product, company, and communityGain expertise in communicating complex technical concepts with clarity and impactSet up systems for productivity, use AI tools to your advantage, and master repeatable workflows to create high-impact technical content. Who is this book for: Software architects and developers, web developers, developer advocates, tech evangelists, technical writers, computer science graduates
From Data to Dollars
Turn raw data into real traction—and real revenue. This practical hands-on guide is built for the realities of startup life—where time is short, resources are limited, and every decision counts. Whether you're just getting started or scaling fast, this book is your essential playbook for building a data-driven startup ready for growth and innovation—and for turning insight into impact and data into dollars. Drawing from his hard-won lessons as the first data hire in both venture-backed successes and failures, author Piotr Sidoruk shares battle-tested strategies for building data systems that are both affordable and scalable, agile and reliable. You’ll explore how to create a strong data foundation free from the rigidity of traditional corporate models, and how to use analytics and AI to inform product development, customer insights, and investor communication—ultimately turning data into measurable business outcomes and revenue growth. What makes this book different? It unites data engineering, analytics, and machine learning into one actionable framework tailored for startups. With real-world examples from companies like Spotify, Airbnb, and Stripe, you’ll see how data can become a strategic asset from day one. From your first data hire to your next funding round, this book is your roadmap to making data your competitive advantage. What You Will Learn Develop a lean data-driven strategy to fuel startup growth Build a scalable data stack for AI and machine learning without overspending Discover user insights with analytics and qualitative research Turn data into financial value and build narratives that win investors Track key startup metrics including CAC, LTV, retention, and growth KPIs Build dashboards and reports that drive decisions and revenue Who This Book Is For Data engineers, analysts, and scientists who are the first data hires at startups—or preparing to work in fast-paced, high-growth startup environments. Ideal for professionals looking to build scalable data systems, drive product insights, and grow their careers in early-stage tech companies.
Analytics Optimization with Columnstore Indexes in Microsoft SQL Server
Meet the challenge of storing and accessing analytic data in SQL Server with speed and efficiency—now with expanded coverage of SQL Server 2025 and Azure SQL Database features. This updated second edition also explores how columnstore indexes compare to other modern analytic storage options, helping you make informed architectural decisions. Whether you're optimizing OLAP workloads or modernizing your data platform, this practical guide shows how columnstore indexes deliver faster query performance and enable rapid business intelligence insights. Inside, you'll find a complete walkthrough of columnstore indexing, from foundational concepts to detailed architecture, implementation, and maintenance strategies. Learn best practices, explore hands-on demonstrations, and uncover common mistakes to avoid. Whether you're new to columnstore or looking to deepen your expertise, this book offers clear, actionable, and definitive guidance for development, testing, and production environments. Discover how columnstore indexes reduce storage costs, boost performance, and simplify data management—without requiring additional licensing. Gain insight into when and how to use them, and how to architect scalable, high-performance analytic solutions in SQL Server. You Will Learn To: Apply best practices for the use and maintenance of analytic data in SQL ServerUse metadata to understand the size and shape of dataLoad, maintain, and delete data from large analytic tablesLeverage columnstore compression to save storage, memory, and timeChoose between columnstore and rowstore indexesAvoid performance pitfalls and leverage advanced features Who This Book Is For Database developers, administrators, and architects working with large analytic datasets who need a reliable, cost-effective way to improve query performance in SQL Server.
Your New Colleague is a Copilot
As tools like Microsoft 365 Copilot, ChatGPT Enterprise, and custom agents weave into everyday work, organizations are discovering that the real challenge is not the technology. It is preparing people, processes, and data for a new way of operating. This book gives you the practical guidance you need through real-world examples, step-by-step playbooks, and a repeatable framework that helps you move beyond scattered pilots and into enterprise-ready AI transformation. What makes this book timely is the urgency around responsible scale. Many organizations are racing to deploy AI without the foundational systems that determine whether these tools flourish or fall flat. AI is not here to replace your workforce. It is here to amplify it. This book helps leaders build the literacy, trust, guardrails, and operating model that allow AI to become a natural part of how the organization works. It shows you how to create the conditions where people and AI can succeed together. What You Will Learn: · Identify and prioritize high-value AI use cases that align with real business needs · Build organizational trust through clear guardrails, transparency, and human oversight · Strengthen AI literacy and support the behavioral shifts teams need to adopt new tools · Establish the operating model, champions, and feedback loops that enable responsible scale · Measure impact with simple, reliable metrics that guide ongoing investment and improvement Who This Book is For This book is designed for business leaders, IT managers, change practitioners, and people leaders who are responsible for helping their teams adopt AI in a way that is responsible, sustainable, and impactful. It offers an actionable framework for preparing your organization to work alongside AI copilots, guiding readers through key topics such as stakeholder alignment, user training, governance, digital literacy, and organizational culture shifts.
Kubernetes for Absolute Beginners
Learn modern application deployment practices using containers and gain the foundational knowledge and practical skills that can be applied in real-world scenariosThis book aims to make Kubernetes and container technologies easier to understand for those new to cloud computing and containerization. Aided by clear explanations, pictures, and diagrams, you’ll start by reviewing the basics of container technologies, how Kubernetes works, how to deploy applications, and how networking works within this open-source system. Then, guided by a step-by-step approach to learning complex topics, the book explains why containers and Kubernetes are important in modern software development and shows you how these technologies are changing the way we build and run software. Featuring shorter chapters that break down difficult concepts, Kubernetes for Absolute Beginners is your starting point for understanding the future of software infrastructure and how this important system will help super-charge your career. You Will: Understand the basics of Kubernetes, including its architecture and core components, and how it manages containerized applicationsAcquire hands-on skills in deploying, managing, and scaling applications using Docker and KubernetesExplore advanced topics such as networking, security, storage solutions, and resource management in KubernetesUse YAML files, ConfigMaps, and Secrets for configuration management This Book Is For IT professionals and developers who are new to Kubernetes and container technologies.