Автор: Guerrero, Hector Название: Excel data analysis ISBN: 3030012786 ISBN-13(EAN): 9783030012786 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a comprehensive and readable introduction to modern business and data analytics.
Автор: De Vito, Saverio et al. Название: Air Quality Networks ISBN: 3031084756 ISBN-13(EAN): 9783031084751 Издательство: Springer Рейтинг: Цена: 149060.00 T Наличие на складе: Поставка под заказ. Описание: This volume offers expert contributions proposing new and recently set scientific standards for smart air quality (AQ) networks data processing, along with results obtained during field deployments of pervasive and mobile systems. The book is divided into 5 main sections; 1) future air quality networks, 2) general data processing techniques, 3) field deployments performances, 4) special applications, and 5) cooperative and regulatory efforts. The authors offer different sources of data for the production of trustworthy insights, including spatio-temporal predictive AQ maps meant to boost citizen awareness, and informed participation in remediation and prevention policies. Readers will learn about the best and most up-to-date practices for measuring and assessing air quality, while also learning about current regulatory statuses regarding air quality technology design and implementation. The book will be of interest to air quality regulatory agencies, citizen science groups, city authorities, and researchers and students working with air quality sensors and geostatistics.
Автор: Karagiannis Dimitris, Lee Moonkun, Hinkelmann Knut Название: Domain-Specific Conceptual Modeling: Concepts, Methods and ADOxx Tools ISBN: 3030935469 ISBN-13(EAN): 9783030935467 Издательство: Springer Рейтинг: Цена: 186330.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Part I: Background.- 1. Conceptual Modelling Methods: The AMME Agile Engineering Approach.- 2. Development of Conceptual Models and Realization of Modelling Tools Within the ADOxx Meta-Modelling Environment: A Living Paper.- 3. Challenging Digital Innovation Through the OMiLAB Community of Practice.- Part II: Previous Volume: Synopsis.- 4. The Purpose-Specificity Framework for Domain-Specific Conceptual Modeling.- Part III: Enterprise Management.- 5. Enterprise Modeling with 4EM: Perspectives and Method.- 6. PGA 2.0: A Modeling Technique for the Alignment of the Organizational Strategy and Processes.- 7. The LiteStrat Modelling Method: Towards the Alignment of Strategy and Code.- 8. itsVALUE: Modelling and Analysing Value Streams for IT Services.- Part IV: Enterprise Information Systems.- 9. Enterprise Construction Modeling Method.- 10. Tool Support for Fractal Enterprise Modeling.- 11. The Integration of Risk Aspects into Business Process Management: The e-BPRIM Modeling Method.- 12. Modeling the Phenomenon of Capability Change: The KYKLOS Method.- 13. A Security Assessment Platform for Stochastic Petri Net (SPN) Modelling in the Internet of Things (IoT) Ecosystem.- Part V: Business Ecosystems and Services.- 14. A Modeling Tool for Exploring Business Ecosystems in a (Pre-)conceptual Phase.- 15. A Capability-Based Method for Modeling Resilient Data Ecosystems.- 16. Space of Services Method (SoS).- 17. Design and Engineering of Product-Service Systems (PSS): The SEEM Methodology and Modeling Toolkit.- Part VI: Knowledge Engineering.- 18. Model-Based Guide Toward Digitization in Digital Business Ecosystems.- 19. Generating ROS Codes from User-Level Workflow in PRINTEPS.- 20. ECAVI: An Assistant for Reasoning About Actions and Change with the Event Calculus.- Part VII: Technology Enhanced Education.- 21. Tree Diagrams and Unit Squares 4.0: Digitizing Stochastic Classes with the Didactic Modeling Tool PROVIS.- 22. Improving Student Mobility Through Automated Mapping of Similar Courses.- Part VIII: Digital Humanities.- 23. Aggregation and Curation of Historical Archive Information.- Part IX: Modelling Method Conceptualization.- 24. Conceptualization of Modelling Methods in the Context of Categorical Mechanisms.- 25. Conceptualizing Design Thinking Artefacts: The Scene2Model Storyboard Approach.- 26. An Approach to the Information System Conceptual Modeling Based on the Form Types.- Part X: Conceptual Modelling Language Extension.- 27. BPMN4MoPla: Mobility Planning Based on Business Decision-Making.- 28. BPMN Extension for Multi-Protocol Data Orchestration.
Автор: Knight Devin, Schacht Bradley, Pearson Mitchell Название: Microsoft Power BI Quick Start Guide - Second Edition: Bring your data to life through data modeling, visualization, digital storytelling, and more ISBN: 1800561571 ISBN-13(EAN): 9781800561571 Издательство: Неизвестно Рейтинг: Цена: 145590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Microsoft Power BI Quick Start Guide, Second Edition gets you up to speed with Power BI quickly, enabling you to derive actionable insights from your data using the data visualization capabilities of Microsoft Power BI within a short span of time.
Автор: Hsu Cheng Название: Information Systems ISBN: 9814383511 ISBN-13(EAN): 9789814383516 Издательство: World Scientific Publishing Рейтинг: Цена: 77090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Focusing on Information Systems (IS), this book provides an answer to a few basic questions in the field: What is the scientific nature of IS? How do we design IS in today`s connected world? What is the relationship between IS and innovation in knowledge economies?
Автор: Seamark Philip, Martens Thomas Название: Pro Dax with Power Bi: Business Intelligence with Powerpivot and SQL Server Analysis Services Tabular ISBN: 1484248961 ISBN-13(EAN): 9781484248966 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Learn the intricate workings of DAX and the mechanics that are necessary to solve advanced Power BI challenges. This book is all about DAX (Data Analysis Expressions), the formula language used in Power BI—Microsoft’s leading self-service business intelligence application—and covers other products such as PowerPivot and SQL Server Analysis Services Tabular. You will learn how to leverage the advanced applications of DAX to solve complex tasks.Often a task seems complex due to a lack of understanding, or a misunderstanding of core principles, and how certain components interact with each other. The authors of this book use solutions and examples to teach you how to solve complex problems. They explain the intricate workings of important concepts such as Filter Context and Context Transition. You will learn how Power BI, through combining DAX building blocks (such as measures, table filtering, and data lineage), can yield extraordinary analytical power. Throughout Pro Dax with Power BI these building blocks are used to create and compose solutions for advanced DAX problems, so you can independently build solutions to your own complex problems, and gain valuable insight from your data.
What You Will LearnUnderstand the intricate workings of DAX to solve advanced problemsDeconstruct problems into manageable parts in order to create your own recipesApply predefined solutions for addressing problems, and link back step-by-step to the mechanics of DAX, to know the foundation of this powerful query languageGet fully on board with DAX, a new and evolving language, by learning best practicesWho This Book Is ForAnyone who wants to use Power BI to build advanced and complex models. Some experience writing DAX is helpful, but not essential if you have experience with other data query languages such as MDX or SQL.
Автор: Box, Alison Название: Up and running with dax for power bi ISBN: 148428187X ISBN-13(EAN): 9781484281871 Издательство: Springer Рейтинг: Цена: 51230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Take a concise approach to learning how DAX, the function language of Power BI and PowerPivot, works. This book focuses on explaining the core concepts of DAX so that ordinary folks can gain the skills required to tackle complex data analysis problems. But make no mistake, this is in no way an introductory book on DAX. A number of the topics you will learn, such as the concepts of context transition and table expansion, are considered advanced and challenging areas of DAX. While there are numerous resources on DAX, most are written with developers in mind, making learning DAX appear an overwhelming challenge, especially for those who are coming from an Excel background or with limited coding experience. The reality is, to hit the ground running with DAX, it’s not necessary to wade through copious pages on rarified DAX functions and the technical aspects of the language. There are just a few mandatory concepts that must be fully understood before DAX can be mastered. Knowledge of everything else in DAX is built on top of these mandatory aspects. Author Alison Box has been teaching and working with DAX for over eight years, starting with DAX for PowerPivot, the Excel add-in, before moving into the Power BI platform. The guide you hold in your hands is an outcome of these years of experience explaining difficult concepts in a way that people can understand. Over the years she has refined her approach, distilling down the truth of DAX which is “you can take people through as many functions as you like, but it’s to no avail if they don’t truly understand how it all works.” You will learn to use DAX to gain powerful insights into your data by generating complex and challenging business intelligence calculations including, but not limited to: * Calculations to control the filtering of information to gain better insight into the data that matters to you * Calculations across dates such as comparing data for the same period last year or the previous period * Finding rolling averages and rolling totals * Comparing data against targets and KPIs or against average and maximum values * Using basket analysis, such as “of customers who bought product X who also bought product Y” * Using “what if” analysis and scenarios * Finding “like for like” sales * Dynamically showing TopN/BottomN percent of customers or products by sales * Finding new and returning customers or sales regions in each month or each year Who This Book Is For Excel users and non-technical users of varying levels of ability or anyone who wants to learn DAX for Power BI but lacks the confidence to do so
Автор: Seamark Philip Название: Beginning Dax with Power Bi: The SQL Pro`s Guide to Better Business Intelligence ISBN: 1484234766 ISBN-13(EAN): 9781484234761 Издательство: Springer Рейтинг: Цена: 55890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Attention all SQL Pros, DAX is not just for writing Excel-based formulas Get hands-on learning and expert advice on how to use the vast capabilities of the DAX language to solve common data modeling challenges.
Beginning DAX with Power BI teaches key concepts such as mapping techniques from SQL to DAX, filtering, grouping, joining, pivoting, and using temporary tables, all aimed at the SQL professional. Join author Philip Seamark as he guides you on a journey through typical business data transformation scenarios and challenges, and teaches you, step-by-step, how to resolve challenges using DAX. Tips, tricks, and shortcuts are included and explained, along with examples of the SQL equivalent, in order to accelerate learning. Examples in the book range from beginner to advanced, with plenty of detailed explanation when walking through each scenario.
What You'll Learn
Turbocharge your Power BI model by adding advanced DAX programming techniques
Know when to use calculated measures versus calculated columns
Generate new tables on the fly from existing data
Optimize, monitor, and tune Power BI to improve performance of your models
Discover new ideas, tricks, and time-saving techniques for better models
Who This Book Is For
Business intelligence developers, business analysts, or any SQL user who wants to use Power BI as a reporting tool. A solid understanding of SQL is recommended, as examples throughout the book include the DAX equivalents to SQL problem/solution scenarios.
Автор: Horne Ian Название: Hands-On Business Intelligence with DAX ISBN: 1838824308 ISBN-13(EAN): 9781838824303 Издательство: Неизвестно Рейтинг: Цена: 47810.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book follows a step-by-step explanation of essential concepts, practical examples, and self-assessment questions. You will begin by learning the basics of DAX, along with important concepts such as evaluation contexts and data modeling, before moving on to more advanced topics such as query optimization.
Автор: Deckler Greg Название: DAX Cookbook ISBN: 1839217073 ISBN-13(EAN): 9781839217074 Издательство: Неизвестно Рейтинг: Цена: 60070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: DAX is a library of functions and operators that can be combined to build formulas and expressions in Power BI Desktop, Azure Analysis Services, SQL Server Analysis Services, and Power Pivot in Excel. This book is a desk reference for people who want to leverage DAX`s functionality and flexibility in BI and data analytics domains.
Автор: Uzun Название: Semantic Modeling and Enrichment of Mobile and WiFi Network Data ISBN: 3319907689 ISBN-13(EAN): 9783319907680 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction.- Basics and RelatedWork.- Requirements.- Semantic Enrichment of Mobile andWiFi Network Data.- Interlinking Diverse Context Sources with Network Topology Data.- OpenMobileNetwork - A Platform for Providing Semantically Enriched Network Data.- Context-aware Services based on Semantically Enriched Mobile and WiFi Network Data.- Service Demonstrators.- Crowdsourced Network Data Estimation Quality.- Applicability of Services.- Conclusion and Future Outlook.
Автор: James Ramsay; Giles Hooker Название: Dynamic Data Analysis ISBN: 1493971883 ISBN-13(EAN): 9781493971886 Издательство: Springer Рейтинг: Цена: 102480.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text focuses on the use of smoothing methods for developing and estimating differential equations following recent developments in functional data analysis and building on techniques described in Ramsay and Silverman (2005) Functional Data Analysis. The central concept of a dynamical system as a buffer that translates sudden changes in input into smooth controlled output responses has led to applications of previously analyzed data, opening up entirely new opportunities for dynamical systems. The technical level has been kept low so that those with little or no exposure to differential equations as modeling objects can be brought into this data analysis landscape. There are already many texts on the mathematical properties of ordinary differential equations, or dynamic models, and there is a large literature distributed over many fields on models for real world processes consisting of differential equations. However, a researcher interested in fitting such a model to data, or a statistician interested in the properties of differential equations estimated from data will find rather less to work with. This book fills that gap.
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