Aufgrund des grof.\en Erfolges der 4. Saarbrticker Arbeitstagung mit dem Thema Rech- nungswesen und EDV, der deutlich werden lieB, daf.\ die Diskussion tiber die Grundlagen, Gestaltungsaltemativen, Verfahrens- und Schnittstellenprobleme eines EDV -gestiitzten Rechnungswesens in der betrieblichen Praxis auf unvermindert reges Interesse st6Bt, haben wir uns entschlossen, das obige Thema (bis auf weiteres) als Generalthema der Saar- brticker Arbeitstagungen beizubehalten. Hierbei werden aber die Schwerpunkte jeweils veriindert und an erkennbare Entwicklungstendenzen des computergesttitzten Rechnungs- wesens angepaf.\t. Der Schwerpunkt der 5. Saarbrticker Arbeitstagung und damit des vorliegenden Tagungs- bandes liegt auf Fragen des Einsatzes von Personal Computem (Mikrocomputem) irn Rechnungswesen und Controlling. Das Ziel des Tagungsprogramms besteht darin, einen Vberblick tiber die M6glichkeiten zu geben, die der organisatorischen Gestaltung und den Auswertungsverfahren des Rechnungswesens durch die Entwicklung leistungsfahiger Personal Computer erOffnet werden. In Ubersichtsvortriigen werden zunachst die Entwicklungstendenzen des innerbetrieb- lichen Rechnungswesens von einer tiberwiegend periodenorientierten zu einer starker aktionsorientierten betriebswirtschaftlichen Steuerungsrechnung aufgezeigt und unter- sucht, ob der Einsatz von Personal Computem ein zusatzliches Auswertungsinstrument oder integraler Bestandteil eines computergesteuerten Rechnungswesens ist. Da individuelle Auswertungen eines Benutzers eine wirksame Datenbasis voraussetzen, wird er6rtert, ob und inwieweit die Konzeption der Grundrechnung in besonderem MaBe als Grundlage einer datenbankorientierten Kostenrechnung geeignet ist. In einem weitereh Vortrag wird ein Vberblick tiber die Einsatzm6glichkeiten von spread sheet Programmen im Rechnungswesen gegeben.

Build highly secure and scalable machine learning platforms to support the fast-paced adoption of machine learning solutions Key Features Explore different ML tools and frameworks to solve large-scale machine learning challenges in the cloud Build an efficient data science environment for data exploration, model building, and model training Learn how to implement bias detection, privacy, and explainability in ML model development Book DescriptionWhen equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you'll need to become one. You'll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch. Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You'll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases. By the end of this book, you'll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional. What you will learn Apply ML methodologies to solve business problems Design a practical enterprise ML platform architecture Implement MLOps for ML workflow automation Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using an AI service and a custom ML model Use AWS services to detect data and model bias and explain models Who this book is forThis book is for data scientists, data engineers, cloud architects, and machine learning enthusiasts who want to become machine learning solutions architects. You'll need basic knowledge of the Python programming language, AWS, linear algebra, probability, and networking concepts before you get started with this handbook.

Now in full color, this edition of Learning Tableau will empower you to bring data to life and make better business decisions Key Features * Learn the basics of data analysis, from snappy visualizations to comprehensive dashboards, now in full color * Gain meaningful insights with geospatial analysis, scripting extensions, and other advanced methods * Explore the latest Tableau 2022 features, including Einstein Discovery and Explain Data Book Description Learning Tableau 2022 helps you get started with Tableau and data visualization, but it does more than just cover the basic principles. It helps you understand how to analyze and communicate data visually, and articulate data stories using advanced features. This new edition is updated with Tableau's latest features, such as dashboard extensions, Explain Data, and integration with Einstein Discovery, which will help you harness the full potential of artificial intelligence (AI) and predictive modeling in Tableau. After an exploration of the core principles, this book will teach you how to use table and level of detail calculations to extend and alter default visualizations, build interactive dashboards, and master the art of telling stories with data. You'll learn about visual statistical analytics and create different types of static and animated visualizations and dashboards for rich user experiences. We then move on to interlinking different data sources with Tableau's Data Model capabilities, along with maps and geospatial visualization. You will further use Tableau Prep Builder's ability to efficiently clean and structure data. By the end of this book, you will be proficient in implementing the powerful features of Tableau 2022 to improve the business intelligence insights you can extract from your data. What you will learn * Develop stunning visualizations to explain complex data with clarity * Build interactive dashboards to drive actionable user insights for large datasets * Explore Data Model capabilities and interlink data from various sources * Create and use calculations to solve problems and enrich your data analytics * Enable smart decision-making with data clustering, distribution, and forecasting * Extend Tableau's native functionality with extensions, scripts, and Einstein Discovery AI * Leverage Tableau Prep Builder's amazing capabilities for data cleaning and structuring * Share your data stories to build a culture of trust and action Who This Book Is For This Tableau book is for aspiring BI developers and data analysts, data scientists, researchers, and anyone else who wants to gain a deeper understanding of data through Tableau. This book starts from the ground up, so you won't need any prior experience with Tableau before you dive in, but a full Tableau license (or 14-day demo license) is essential to be able to make use of all the exercises.

Practical recipes and real-world examples to help you create custom solutions, automate processes, and extend the platform's capabilities. Using Power Apps, Power Automate, Component Framework, and Dataverse, you can implement RPA technologies and more Key Features * Enhanced with a new chapter on Power Apps Portals, robotic process automation technologies, Map capabilities to canvas apps, solutions using mixed reality, and much more * Explore a variety of built-in templates to create custom apps for specific business scenarios * Strengthen your enterprise applications with advanced techniques and proven tips using a low-code approach Book Description Power Apps is a low-code platform owned by Microsoft. With this platform, you can create solutions to solve your business needs while integrating with other components of the Power Platform, such as Microsoft Power Automate, Microsoft Power BI, or others. This book is a handy solution guide to meet many organizational requirements. Microsoft Power Apps Cookbook, Second Edition takes a pragmatic approach where every business scenario is presented in a quick, practical, and action-oriented recipe. You will be able to use these instant solutions in your development environment and customize your business apps to meet the challenging business needs. This will help you handle real-world scenarios and experiences to give you a head start in your Power Apps projects. You will discover different aspects of Power Apps, from building canvas apps, designing model-driven solutions, extending with custom connectors, integrating with other platforms, moving to the pro-developer side using Power Apps Component Framework, and reaching beyond the organization with Power Apps Portals. By the end of this Microsoft Power Apps book, you'll have gained experience in developing applications using the Power Apps platform and all of its features. What you will learn * Extend your platform using maps and Mixed Reality * Design model-driven solutions using various features of Microsoft Dataverse * Reach beyond the organization with Microsoft Power Apps Portals * Automate business processes such as triggered events, status change notifications, and approval systems with Power Automate * Implement AI Builder's intelligent capabilities in your solutions * Learn to integrate and test canvas apps * Extend your business applications' capabilities using Power Apps Component Framework * Implement RPA technologies with Power Automate Who This Book Is For This book is targeted at information workers and citizen developers wanting to develop custom applications for their organizations or the projects they are undertaking. Traditional app developers will also find this book useful by discovering how to use a rapid application development environment with increased productivity and speed. Readers are expected to have prior exposure to the Microsoft Power Platform ecosystem.

Implement critical business processes with mySAP Business Suite to integrate key functions that add value to every facet of your organization Key Features Learn master data concepts and UI technologies in SAP systems Explore key functions of different sales processes, order fulfillment options, transportation planning, logistics execution processes, and customer invoicing Configure the Order to Cash process in SAP systems and apply it to your business needs Book DescriptionUsing different SAP systems in an integrated way to gain maximum benefits while running your business is made possible by this book, which covers how to effectively implement SAP Order to Cash Process with SAP Customer Relationship Management (CRM), SAP Advanced Planning and Optimization (APO), SAP Transportation Management System (TMS), SAP Logistics Execution System (LES), and SAP Enterprise Central Component (ECC). You'll understand the integration of different systems and how to optimize the complete Order to Cash Process with mySAP Business Suite. With the help of this book, you'll learn to implement mySAP Business Suite and understand the shortcomings in your existing SAP ECC environment. As you advance through the chapters, you'll get to grips with master data attributes in different SAP environments and then shift focus to the Order to Cash cycle, including order management in SAP CRM, order fulfillment in SAP APO, transportation planning in SAP TMS, logistics execution in SAP LES, and billing in SAP ECC. By the end of this SAP book, you'll have gained a thorough understanding of how different SAP systems work together with the Order to Cash process. What you will learn Discover master data in different SAP environments Find out how different sales processes, such as quotations, contracts, and order management, work in SAP CRM Become well-versed with the steps involved in order fulfillment, such as basic and advanced ATP checks in SAP APO Get up and running with transportation requirement and planning and freight settlement with SAP TMS Explore warehouse management with SAP LES to ensure high transparency and predictability of processes Understand how to process customer invoicing with SAP ECC Who this book is forThis book is for SAP consultants, SME managers, solution architects, and key users of SAP with knowledge of end-to-end business processes. Customers operating SAP CRM, SAP TMS, and SAP APO as part of daily operations will also benefit from this book by understanding the key capabilities and integration touchpoints. Working knowledge of SAP ECC, SAP CRM, SAP APO, SAP TMS, and SAP LES is necessary to get started with this book.

Die vorliegende Dissertation entstand wahrend meiner Tatig- keit als wissenschaftlicher Mitarbeiter am Fraunhofer- Institut fUr Produktionstechnik und Automatisierung (IPA) in Stuttgart. Herrn Professor Dr.-Ing. H.-J. Warnecke, dem Direktor des IPA sowie Leiter des Instituts fUr Industrielle Fertigung und Fabrikbetrieb der Universitat Stuttgart, bin ich fUr seine wohlwollende UnterstUtzung und seine Forderung bei der Durch- fUhrung der Arbeit zu groBem Dank verpflichtet. Herrn Professor Dr.-Ing. H. Grabowski danke ich vielmals fUr die eingehende Durchsicht der Arbeit und die sich daraus ergebenden Hinweise. Bei der DurchfUhrung der fUr die vorliegende Dissertation not- wendigen Untersuchungen wurde ich in groBzUgiger Weise von der Firma Siemens AG (GWK) in Karlsruhe unterstUtzt. HierfUr mochte ich insbesondere den Herren K. Adam, Obering. E. Bux und Ing. (grad.) E. KUhne danken. DarUber hinaus mochte ich allen Mitarbeitern der genannten Institute danken, die mir durch Kritik und Diskussionsbereit- schaft beim Abfassen der Arbeit behilflich waren. Dieser Dank gilt insbesondere den Herren Dipl.-Ing. G.W. Dobler, Dr.-Ing. O. Hirschbach und bipl.-Math. R. Scheel.

Get to grips with the tools, services, and functions needed for application migration to help you move from legacy applications to cloud-native on Google Cloud Key Features Discover how a sample legacy application can be transformed into a cloud-native application on Google Cloud Learn where to start and how to apply application modernization techniques and tooling Work with real-world use cases and instructions to modernize an application on Google Cloud Book DescriptionLegacy applications, which comprise 75-80% of all enterprise applications, often end up being stuck in data centers. Modernizing these applications to make them cloud-native enables them to scale in a cloud environment without taking months or years to start seeing the benefits. This book will help software developers and solutions architects to modernize their applications on Google Cloud and transform them into cloud-native applications. This book helps you to build on your existing knowledge of enterprise application development and takes you on a journey through the six Rs: rehosting, replatforming, rearchitecting, repurchasing, retiring, and retaining. You'll learn how to modernize a legacy enterprise application on Google Cloud and build on existing assets and skills effectively. Taking an iterative and incremental approach to modernization, the book introduces the main services in Google Cloud in an easy-to-understand way that can be applied immediately to an application. By the end of this Google Cloud book, you'll have learned how to modernize a legacy enterprise application by exploring various interim architectures and tooling to develop a cloud-native microservices-based application. What you will learn Discover the principles and best practices for building cloud-native applications Study the six Rs of migration strategy and learn when to choose which strategy Rehost a legacy enterprise application on Google Compute Engine Replatform an application to use Google Load Balancer and Google Cloud SQL Refactor into a single-page application (SPA) supported by REST services Replatform an application to use Google Identity Platform and Firebase Authentication Refactor to microservices using the strangler pattern Automate the deployment process using a CI/CD pipeline with Google Cloud Build Who this book is forThis book is for software developers and solutions architects looking to gain experience in modernizing their enterprise applications to run on Google Cloud and transform them into cloud-native applications. Basic knowledge of Java and Spring Boot is necessary. Prior knowledge of Google Cloud is useful but not mandatory.

Learn how to create sophisticated and reliable Logic Apps with improved UX Key Features Become an Azure Master and create data flows within a matter of minutes Perform transfers using Logic Apps with prompt results Create powerful Logic Apps by enhancing your systems to improve user experience Book DescriptionLogic Apps are a visual flowchart-like representation of common programming actions, and are a flexible way to create logic without writing a single line of code. Enterprise Integration with Azure Logic Apps is a comprehensive introduction for anyone new to Logic Apps which will boost your learning skills and allow you to create rich, complex, structured, and reusable logic with instant results. You'll begin by discovering how to navigate the Azure portal and understand how your objects can be zoned to a specific environment by using resource groups. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will teach you the benefits and foundations of Logic App logic design. As you advance, you'll find out how to manage your Azure environment in relation to Logic Apps and how to create elegant and reliable Logic Apps. With useful and practical explanations of how to get the most out of Logic App actions and triggers, you'll be able to ensure that your Logic Apps work efficiently and provide seamless integration for real-world scenarios without having to write code. By the end of this Logic Apps book, you'll be able to create complex and powerful Logic Apps within minutes, integrating large amounts of data on demand, enhancing your systems, and linking applications to improve user experience. What you will learn Understand how to use blades, overview pages, and subscription pages Discover how to create a Microsoft account to manage your tenant Use a Visual Studio subscription with Azure to manage your Logic Apps Find out how to manage the cloud by analyzing runs, executions, and costs Create resource groups to zone your enterprise environments Support a development life cycle from sandbox through to production Who this book is forIf you are an aspiring infrastructure technician who already uses Azure in place of on-premises solutions and is now looking to link systems together, then this book is for you. This book is also for developers interested in systems integration where legacy systems may not have a direct data link and the cloud is the intermediary step. Power users with existing IT skills and experience with Power BI and Power Automate will also find this book useful.

Learn how to defend your ICS in practice, from lab setup and intel gathering to working with SCADA Key Features Become well-versed with offensive ways of defending your industrial control systems Learn about industrial network protocols, threat hunting, Active Directory compromises, SQL injection, and much more Build offensive and defensive skills to combat industrial cyber threats Book DescriptionThe industrial cybersecurity domain has grown significantly in recent years. To completely secure critical infrastructure, red teams must be employed to continuously test and exploit the security integrity of a company's people, processes, and products. This is a unique pentesting book, which takes a different approach by helping you gain hands-on experience with equipment that you'll come across in the field. This will enable you to understand how industrial equipment interacts and operates within an operational environment. You'll start by getting to grips with the basics of industrial processes, and then see how to create and break the process, along with gathering open-source intel to create a threat landscape for your potential customer. As you advance, you'll find out how to install and utilize offensive techniques used by professional hackers. Throughout the book, you'll explore industrial equipment, port and service discovery, pivoting, and much more, before finally launching attacks against systems in an industrial network. By the end of this penetration testing book, you'll not only understand how to analyze and navigate the intricacies of an industrial control system (ICS), but you'll also have developed essential offensive and defensive skills to proactively protect industrial networks from modern cyberattacks. What you will learn Set up a starter-kit ICS lab with both physical and virtual equipment Perform open source intel-gathering pre-engagement to help map your attack landscape Get to grips with the Standard Operating Procedures (SOPs) for penetration testing on industrial equipment Understand the principles of traffic spanning and the importance of listening to customer networks Gain fundamental knowledge of ICS communication Connect physical operational technology to engineering workstations and supervisory control and data acquisition (SCADA) software Get hands-on with directory scanning tools to map web-based SCADA solutions Who this book is forIf you are an ethical hacker, penetration tester, automation engineer, or IT security professional looking to maintain and secure industrial networks from adversaries, this book is for you. A basic understanding of cybersecurity and recent cyber events will help you get the most out of this book.