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Graph Data Processing with Cypher , Get acquainted with Cypher in a guided manner quickly and learn how to query the graph databases with efficient and performant queriesKey FeaturesWork with Cypher syntax and semantics while building graph traversal queries Get up and running with advanced Cypher concepts like List, Maps, OPTIONAL MATCH Master best practices in writing effective queries leveraging data modeling and patterns Book Description While it is easy to learn and understand the Cypher declarative language for querying graph databases, it can be very difficult to master it. As graph databases are becoming more mainstream, there is a dearth of content and guidance for developers to leverage database capabilities fully. This book fills the information gap by describing graph traversal patterns in a simple and readable way. This book provides a guided tour of Cypher from understanding the syntax, building a graph data model, and loading the data into graphs to building queries and profiling the queries for best performance. It introduces APOC utilities that can augment Cypher queries to build complex queries. You'll also be introduced to visualization tools such as Bloom to get the most out of the graph when presenting the results to the end users. After having worked through this book, you'll have become a seasoned Cypher query developer with a good understanding of the query language and how to use it for the best performance.What you will learnWrite Cypher queries from basic to advanced level Map the source data to the graph data model in an iterative fashion Load the data into a graph using LOAD CSV, APOC, and client drivers Map the business questions to graph queries effectively Identify query performance issues and fix them Extend capabilities of Cypher using APOC utilities Work with graph visualization tools like Bloom and Browser Who this book is for This book is targeted at Database Administrator, Database Developers, Graph Database Developers, and Graph Database Architects. This book will also help someone migrate from a DBA role to a graph data engineer or data scientist If you are working with graph databases and need to learn Cypher, or are a basic Cypher developer who wants to get better at data modeling and tuning queries to build performant Cypher queries, then this is the book for you.Table of ContentsIntroduction to Neo4j and Cypher Components of Cypher Loading Data with Cypher Querying Graph Filtering, Sorting, and Aggregations List Expressions, UNION, and Subqueries Working with Lists and Maps Advanced Query Patterns Query Tuning Using APOC Utilities Cypher Ecosystem Tips and Tricks , Bücher > Bücher & Zeitschriften
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Practical Approaches to Agile Project Management , Amidst the relentless pace of the contemporary business landscape, information technology (IT) projects grapple with an escalating challenge - the need to deliver solutions swiftly, adapt to evolving customer demands, and create value within the ever-shifting dynamics of the market. In this demanding environment, the traditional project management paradigms often fall short, necessitating a shift towards methodologies that embody flexibility, customer collaboration, and iterative development. Herein lies the crux of the issue faced by modern IT projects. Practical Approaches to Agile Project Management is a guide in the tumult of IT project complexities. This book provides a comprehensive solution to the complexities of contemporary project management by delving into topics such as alternative pricing models and the alignment of organizational cultures in IT partnerships, making it an indispensable resource for professionals, academics, and students navigating the domains of business, information technology, or project management. Primarily aimed at IT professionals involved in project management and service delivery, this book caters to a broad spectrum of individuals, including IT Project Managers, Consultants, Entrepreneurs, and Executives at IT Service Firms. Additionally, it extends its value to Business Leaders undertaking IT-enabled transformations and Academic Researchers delving into the intersection of agile methodologies and IT service delivery. From prioritization strategies for IT Project Managers to frameworks for consultants, entrepreneurs, and executives, this book addresses the diverse needs of its readership, offering practical, evidence-based insights to optimize IT service delivery across various organizational contexts. , Bücher > Bücher & Zeitschriften
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The TRIUMPH Framework , In a world characterized by constant change and disruption, leaders are under immense pressure to identify and adapt to new trends and address unexpected challenges. Mastering change leadership is a necessary skill. TRIUMPH is a proven, seven-step framework developed through extensive research, interviews with notable leaders, and the author's real-world experience leading successful transformations. The TRIUMPH framework is unique in that it offers a holistic systematic approach to change that addresses process, people, and culture, both top-down and bottom-up. It builds on Agile methodologies and thinking, focusing on iterative small steps rather than large, uncertain transformations. It emphasizes collaboration, pulling all organizational levels into the transformation for lasting change, achieved through 360-degree participation. This approach fosters collaborative leadership with transparency, empathy, and making employees full partners in the solution. Within The TRIUMPH Framework, you'll discover:Practical tools and techniques to hone your leadership skills, increase your influence, and become a more effective leader. Actionable strategies for addressing resistance to change and fostering a culture of innovation within your organization. Proven methods for creating clear, well-defined plans and executing them flawlessly to achieve your desired outcomes. A versatile change management framework that can be applied to any challenging change, be it a strategic shift, digital transformation, Agile transformation, GenAI transformation, or turnaround. It is equally valuable for corporate leadership, leaders in non-profit organizations, educational institutions, and even community groups facing significant change. Case studies that demonstrate how the best leaders lead. Whether you're a seasoned executive navigating a corporate turnaround, a mid-level manager overseeing a digital transformation, a leader adapting the organization to generative AI, or an entrepreneur facing a competitive market, TRIUMPH provides the roadmap you need to lead your organization and achieve lasting success. Don't let disruption define your future. Take charge, embrace change, and unlock the full potential of your leadership. , Bücher > Bücher & Zeitschriften
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Adaptive Dynamic Programming for Control , There are many methods of stable controller design for nonlinear systems. In seeking to go beyond the minimum requirement of stability, Adaptive Dynamic Programming in Discrete Time approaches the challenging topic of optimal control for nonlinear systems using the tools of adaptive dynamic programming (ADP). The range of systems treated is extensive; affine, switched, singularly perturbed and time-delay nonlinear systems are discussed as are the uses of neural networks and techniques of value and policy iteration. The text features three main aspects of ADP in which the methods proposed for stabilization and for tracking and games benefit from the incorporation of optimal control methods: ¿ infinite-horizon control for which the difficulty of solving partial differential Hamilton¿Jacobi¿Bellman equations directly is overcome, and proof provided that the iterative value function updating sequence converges to the infimum of all the value functions obtained by admissible control law sequences; ¿ finite-horizon control, implemented in discrete-time nonlinear systems showing the reader how to obtain suboptimal control solutions within a fixed number of control steps and with results more easily applied in real systems than those usually gained from infinite-horizon control; ¿ nonlinear games for which a pair of mixed optimal policies are derived for solving games both when the saddle point does not exist, and, when it does, avoiding the existence conditions of the saddle point. Non-zero-sum games are studied in the context of a single network scheme in which policies are obtained guaranteeing system stability and minimizing the individual performance function yielding a Nash equilibrium. In order to make the coverage suitable for the student as well as for the expert reader, Adaptive Dynamic Programming in Discrete Time: ¿ establishes the fundamental theory involved clearly with each chapter devoted to aclearly identifiable control paradigm; ¿ demonstrates convergence proofs of the ADP algorithms to deepen understanding of the derivation of stability and convergence with the iterative computational methods used; and ¿ shows how ADP methods can be put to use both in simulation and in real applications. This text will be of considerable interest to researchers interested in optimal control and its applications in operations research, applied mathematics computational intelligence and engineering. Graduate students working in control and operations research will also find the ideas presented here to be a source of powerful methods for furthering their study. , Bücher > Bücher & Zeitschriften
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Inheriting Agile , With this revolutionary new guide to project management, shift your software development failures into success. Here's a startling fact: Over 60% of software projects fail. We often blame budget, scope, or communication problems between stakeholders. But the real reason might surprise you. It's time to reveal the deep-rooted misconceptions in IT project management and to expose the historical lie preventing your team from delivering quality software. Agile methodology expert Rob Lineberger brings over two decades of expertise to shatter illusions around agile and to guide you through the adaptive approaches necessary for success in today's software development landscape. Lineberger's transformative Blur Box model challenges the predictive approach that has been internalized as the best practice by the IT industry, replacing guesswork with a visual, adaptive strategy. In this enlightening guide, you will learn actionable tactics to confidently navigate complex iterative projects, sidestepping costly agile failures. Enjoy the ride as you discover:The untold history that has shackled software development to a cycle of failure. The revolutionary Blur Box model that visualizes the agile process for all stakeholders in a clear and groundbreaking way. Strategies to overcome the inertia of outdated practices and to embrace adaptability. The agile circus escape practices, 12 actionable tactics to steer clear of common pitfalls and to reshape your organizational culture. A cultural shift in IT management, fostering an environment where agility and continual learning reign supreme. Inheriting Agile is not just another IT management book; it's an insightful journey into the heart of software development methodologies, where adaptability triumphs over prediction. Empower yourself with the tools and insights necessary to advocate for change in your organization, offering a clear path to increased project success and professional fulfillment. , Studium & Erwachsenenbildung > Fachbücher, Lernen & Nachschlagen
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Ähnliche Suchbegriffe für Iterative:
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Wie würde der Quelltext für die iterative Sortierung aussehen?
Der Quelltext für die iterative Sortierung könnte wie folgt aussehen: ``` def iterative_sort(arr): n = len(arr) for i in range(n): for j in range(0, n-i-1): if arr[j] > arr[j+1]: arr[j], arr[j+1] = arr[j+1], arr[j] return arr ``` Dieser Code verwendet eine doppelte Schleife, um das Array zu durchlaufen und benachbarte Elemente zu vergleichen und bei Bedarf zu tauschen. Durch wiederholtes Durchlaufen der Schleifen wird das Array schrittweise sortiert.
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Wie lautet der iterative Approximationsalgorithmus für Pi in Java?
Ein möglicher iterativer Approximationsalgorithmus für Pi in Java könnte wie folgt aussehen: ```java public class PiApproximation { public static void main(String[] args) { double pi = approximatePi(); System.out.println("Approximation of Pi: " + pi); } public static double approximatePi() { double pi = 0; int iterations = 1000000; for (int i = 0; i < iterations; i++) { double term = 1.0 / (2 * i + 1); if (i % 2 == 0) { pi += term; } else { pi -= term; } } return pi * 4; } } ``` Dieser Algorithmus verwendet die Leibniz-Reihe, um Pi zu approximieren. Dabei wird die Reihe bis zu einer bestimmten Anzahl von Iterationen
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Was ist eine iterative Quersumme?
Eine iterative Quersumme ist eine mathematische Operation, bei der die Quersumme einer Zahl berechnet wird, indem die einzelnen Ziffern der Zahl addiert werden. Wenn das Ergebnis eine zweistellige Zahl ist, wird die Operation erneut auf das Ergebnis angewendet, bis eine einstellige Zahl erreicht wird.
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Wie kann Rapid Prototyping in den Bereichen Produktentwicklung, Softwareentwicklung und Architektur eingesetzt werden, um schnell und effizient Prototypen zu erstellen und iterative Verbesserungen vorzunehmen?
Rapid Prototyping kann in der Produktentwicklung eingesetzt werden, um schnell physische Prototypen von Produkten zu erstellen und iterative Verbesserungen basierend auf Benutzerfeedback vorzunehmen. In der Softwareentwicklung ermöglicht Rapid Prototyping die schnelle Erstellung von Benutzeroberflächen und Funktionalitäten, um frühzeitig Feedback von Stakeholdern zu erhalten und Anpassungen vorzunehmen. In der Architektur kann Rapid Prototyping genutzt werden, um schnell 3D-Modelle von Gebäuden zu erstellen und iterative Verbesserungen vorzunehmen, um die Funktionalität und Ästhetik zu optimieren. Durch den Einsatz von Rapid Prototyping können alle drei Bereiche Zeit und Ressourcen sparen, indem sie frühzeitig aufkommende Probleme identifizieren und iterative Verbesserungen vornehmen.
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Was ist eine iterative Berechnung?
Eine iterative Berechnung ist ein Prozess, bei dem ein Algorithmus wiederholt angewendet wird, um schrittweise eine Lösung zu finden. Dabei wird das Ergebnis eines Schrittes als Eingabe für den nächsten Schritt verwendet. Dieser Vorgang wird so lange wiederholt, bis ein bestimmtes Abbruchkriterium erfüllt ist oder die gewünschte Genauigkeit erreicht ist. Iterative Berechnungen werden häufig in der Mathematik und Informatik eingesetzt, um komplexe Probleme zu lösen, bei denen keine geschlossene Formel zur Verfügung steht. Ein bekanntes Beispiel für iterative Berechnungen ist das Newton-Verfahren zur Näherung von Nullstellen einer Funktion.
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Warum fressen Hunde Spinnen?
Hunde fressen Spinnen aus verschiedenen Gründen. Einige Hunde könnten Spinnen als Beute betrachten und sie instinktiv jagen und fressen. Andere Hunde könnten Spinnen aus Neugierde oder Langeweile fressen. Es ist jedoch wichtig sicherzustellen, dass die Spinnen, die ein Hund frisst, ungiftig sind und keine gesundheitlichen Probleme verursachen können.
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Wie beeinflusst die Zucht von Pflanzen und Tieren die landwirtschaftliche Produktion und die Ernährungssicherheit?
Die Zucht von Pflanzen und Tieren hat einen großen Einfluss auf die landwirtschaftliche Produktion und die Ernährungssicherheit. Durch gezielte Zucht können Pflanzen und Tiere an die spezifischen Bedingungen eines bestimmten Gebiets angepasst werden, was zu höheren Erträgen und einer besseren Anpassung an Umweltbedingungen führt. Außerdem können durch Zucht resistente Sorten entwickelt werden, die weniger anfällig für Krankheiten und Schädlinge sind, was die Ernteerträge und die Ernährungssicherheit erhöht. Die Zucht kann auch dazu beitragen, die Qualität und den Nährwert von Pflanzen und Tieren zu verbessern, was zu einer vielfältigeren und ausgewogeneren Ernährung beiträgt.
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Welche Rasse ist es, ein Jack Russell Terrier oder ein English Beagle?
Es gibt zwei verschiedene Rassen, einen Jack Russell Terrier und einen English Beagle. Der Jack Russell Terrier ist eine kleine, energiegeladene Rasse, während der English Beagle etwas größer und ruhiger ist. Beide Rassen haben unterschiedliche Eigenschaften und Bedürfnisse, daher ist es wichtig, die richtige Rasse für Ihren Lebensstil und Ihre Vorlieben zu wählen.
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Sind Katzen oder Hunde näher mit Menschen verwandt?
Katzen und Hunde sind beide Säugetiere und gehören zur gleichen biologischen Ordnung, den Carnivora. Allerdings sind Hunde näher mit Menschen verwandt als Katzen, da sie seit Jahrtausenden domestiziert wurden und eine engere Beziehung zu Menschen haben. Katzen hingegen wurden erst später domestiziert und haben eine unabhängigere Natur.
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Ist ein Tennisball schädlich für Hunde?
Ein Tennisball kann potenziell schädlich für Hunde sein, wenn sie ihn zerbeißen und die Fasern verschlucken. Dies kann zu Verdauungsproblemen oder sogar zu einem Darmverschluss führen. Es ist daher wichtig, den Hund beim Spielen mit einem Tennisball zu beaufsichtigen und sicherzustellen, dass er ihn nicht zerstört.
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Darf man in Tschechien Hunde kaufen?
Ja, es ist erlaubt, Hunde in Tschechien zu kaufen. Es gibt viele Züchter und Tierheime, in denen Hunde zum Verkauf angeboten werden. Es ist jedoch wichtig, sich vor dem Kauf gründlich über den Züchter oder das Tierheim zu informieren, um sicherzustellen, dass die Tiere gut versorgt und gesund sind.
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Trainiert der Nachbar illegal Hunde?
Ich kann nicht beurteilen, ob der Nachbar illegal Hunde trainiert, da ich keine Informationen über die Gesetze in Ihrer Region habe. Wenn Sie Bedenken haben, könnten Sie die örtlichen Behörden kontaktieren, um dies zu überprüfen.