Alberto Ferrari

Marco Russo

This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens under the hood when you run a DAX expression, how DAX behaves differently from other languages, and how to use this knowledge to write fast, robust code. If you want to leverage all of DAX’s remarkable power and flexibility, this no-compromise “deep dive” is exactly what you need. Perform powerful data analysis with DAX for Microsoft SQL Server Analysis Services, Excel, and Power BI Master core DAX concepts, including calculated columns, measures, and error handling Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions Perform time-based calculations: YTD, MTD, previous year, working days, and more Work with expanded tables, complex functions, and elaborate DAX expressions Perform calculations over hierarchies, including parent/child hierarchies Use DAX to express diverse and unusual relationships Measure DAX query performance with SQL Server Profiler and DAX Studio

Business intelligence with Microsoft Excel, SQL Server Analysis Services, and Power BI

The Definitive Guide to DAX

A pattern is a general reusable solution to a commonly occurring problem. This book is a collection of ready-to-use data models and formulas in DAX, that you can use in Power Pivot for Excel and in Microsoft Analysis Services Tabular. Create your data model faster by using a DAX pattern!

Dax Patterns 2015

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Introducing Microsoft Power BI enables you to evaluate when and how to use Power BI. Get inspired to improve business processes in your company by leveraging the available analytical and collaborative features of this environment. Be sure to watch for the publication of Alberto Ferrari and Marco Russo's upcoming retail book, Analyzing Data with Power BI and Power Pivot for Excel (ISBN 9781509302765). Go to the book's page at the Microsoft Press Store here for more details:http://aka.ms/analyzingdata/details. Learn more about Power BI at https://powerbi.microsoft.com/.

Introducing Microsoft Power BI

Chris Webb

Build agile and responsive Business Intelligence solutions Analyze tabular data using the BI Semantic Model (BISM) in Microsoft SQL Server 2012 Analysis Services—and discover a simpler method for creating corporate-level BI solutions. Led by three BI experts, you’ll learn how to build, deploy, and query a BISM tabular model with step-by-step guides, examples, and best practices. This hands-on book shows you how the tabular model’s in-memory database enables you to perform rapid analytics—whether you’re a professional BI developer new to Analysis Services or familiar with its multidimensional model. Discover how to: Determine when a tabular or multidimensional model is right for your project Build a tabular model using SQL Server Data Tools in Microsoft Visual Studio 2010 Integrate data from multiple sources into a single, coherent view of company information Use the Data Analysis eXpressions (DAX) language to create calculated columns, measures, and queries Choose a data modeling technique that meets your organization’s performance and usability requirements Optimize your data model for better performance with xVelocity storage engine Manage complex data relationships, such as multicolumn, banding, and many-to-many Implement security by establishing administrative and data user roles

The BISM Tabular Model

Microsoft SQL Server 2012 Analysis Services

Danielle Cohen-Levinas

Eugenio Mazzarella

Renata Viti Cavaliere

Luca Vanzago

Antonello Giugliano

Gianluca Giannini

Marco Di Capua

Paolo Piccari

Jérôme Lèbre

Massimo Villani

Anna Pia Ruoppo

Agostino Cera

Manuela Macelloni

Giuseppe Giordano

Carmelo Colangelo

Viviana Farina

Giusi Furnari Luvarà

Fabiana Gambardella

Paola Martino

Valentina Mascia

Paolo Augusto Masullo

Fabrizio Meroi

Salvatore Tedesco

Andrea Zanella

Umano, postumano, transumano, antropocene, animalità, relazione mente-corpo, intelligenza artificiale, diritti umani e inclusione, humanitas e umanesimo: queste le aree tematiche di indagine dei saggi che compongono il primo dei due volumi di Humanity. L’analisi che ne deriva fotografa un’umanità che – dalla modernità alla contemporaneità – si trova in continuo transito tra paradigmi perduti e nuove traiettorie. Le attuali emergenze umanitarie, i frequenti disastri ambientali, le non più avveniristiche ibridazioni tra umano e tecnica impongono un costante e rinnovato ripensamento delle condizioni e dei limiti a cui è esposta la nostra esistenza. La riflessione filosofica ed etico-politica sull’umano si situa, oggi, in una complessa e articolata scena di mondo: qui essa incontra il versante dell’arte o, più in generale, dell’estetico. Proprio risalendo alle origini del moderno, si possono trarre spunti per un rilancio critico del progetto umano, di un nuovo umanesimo finalmente depurato da retaggi ideologici e ipoteche metafisiche.

Tra paradigmi perduti e nuove traiettorie

Humanity

Aldo Giorgio Gargani

Vincenzo Vitiello

Enrica Lisciani-Petrini

Bruno Moroncini

Elettra Stimilli

Luigi Perissinotto

Luigi Capitano

Claudia Maggi

Cecilia Rofena

Italo Valent

Fascicolo 1: Pensare dopo Cartesio. Temi e problemi della filosofia francese del ’900 (a cura di Enrica Lisciani-Petrini). Saggi: E. LISCIANI-PETRINI, Quartetto per un’antologia del virtuale: Bergson, Jankélévitch, Merleau-Ponty, Deleuze; V. VITIELLO, Levinas e la logica della seconda persona; M. RUSSO, L’urtante. Sartre ritorna; B. MORONCINI, Come in uno specchio: Lacan & Derrida; E. STIMILLI, Esercizi spirituali o tecniche di vita? Pierre Hadot e Michel Foucault a confronto. Letture: C. MAGGI, Spunti per un’ontologia del virtuale in Plotino: la dynamis nell’Essere fra traccia dell’Uno ed esplicazione del molteplice. Fascicolo 2: Wittgenstein. Saggi: A. G. GARGANI, Wittgenstein: la filosofia come analisi delle possibilità; I. VALENT, Lo stile speculativo di Wittgenstein; L. PERISSINOTTO, Etica, filosofia e nonsenso nel Tractatus di Wittgenstein; C. ROFENA, Per un metodo compositivo: Wittgenstein e l’immaginazione poetica; V. VITIELLO, «In lotta con il linguaggio». Da Wittgenstein a Nietzsche (passando per Hegel). Letture: L. CAPITANO, Cacciari legge Leopardi.

Il Pensiero, XLVII, 1-2, 2008

Renowned DAX experts Alberto Ferrari and Marco Russo teach you how to design data models for maximum efficiency and effectiveness. How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It’s meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way–like experienced data modelers do. As you’ll soon see, with the right data model, the correct answer is always a simple one! By reading this book, you will: • Gain an understanding of the basics of data modeling, including tables, relationships, and keys • Familiarize yourself with star schemas, snowflakes, and common modeling techniques • Learn the importance of granularity • Discover how to use multiple fact tables, like sales and purchases, in a complex data model • Manage calendar-related calculations by using date tables • Track historical attributes, like previous addresses of customers or manager assignments • Use snapshots to compute quantity on hand • Work with multiple currencies in the most efficient way • Analyze events that have durations, including overlapping durations • Learn what data model you need to answer your specific business questions About This Book • For Excel and Power BI users who want to exploit the full power of their favorite tools • For BI professionals seeking new ideas for modeling data

Analyzing Data with Power BI and Power Pivot for Excel

Design and implement fast, scalable and maintainable cubes with Microsoft SQL Server 2008 Analysis Services with this book and eBook

Expert Cube Development with Microsoft SQL Server 2008 Analysis Services

Your guide to quickly turn data into results. Transform your skills, data, and business—and create your own BI solutions using software you already know and love: Microsoft Excel. Two business intelligence (BI) experts take you inside PowerPivot functionality for Excel 2013, with a focus on real world scenarios, problem-solving, and data modeling. You'll learn how to quickly turn mass quantities of data into meaningful information and on-the-job results—no programming required! Understand the differences between PowerPivot for Self Service BI and SQL Server Analysis Services for Corporate BI Extend your existing data-analysis skills to create your own BI solutions Quickly manipulate large data sets, often in millions of rows Perform simple-to-sophisticated calculations and what-if analysis Create complex reporting systems with data modeling and Data Analysis Expressions Share your results effortlessly across your organization using Microsoft SharePoint Authors’ note on using Microsoft Excel 2016: This book’s content was written against Excel 2013, but it is useful and valid for users of Excel 2016 too. Excel 2016 introduces several new DAX functions and an improved editor for DAX without changing any existing behavior. In other words, all of the concepts and examples explained in this book continue to work with Excel 2016.

Building Data Models with PowerPivot

Microsoft Excel 2013 Building Data Models with PowerPivot

Build agile and responsive business intelligence solutions Create a semantic model and analyze data using the tabular model in SQL Server 2016 Analysis Services to create corporate-level business intelligence (BI) solutions. Led by two BI experts, you will learn how to build, deploy, and query a tabular model by following detailed examples and best practices. This hands-on book shows you how to use the tabular model’s in-memory database to perform rapid analytics—whether you are new to Analysis Services or already familiar with its multidimensional model. Discover how to: • Determine when a tabular or multidimensional model is right for your project • Build a tabular model using SQL Server Data Tools in Microsoft Visual Studio 2015 • Integrate data from multiple sources into a single, coherent view of company information • Choose a data-modeling technique that meets your organization’s performance and usability requirements • Implement security by establishing administrative and data user roles • Define and implement partitioning strategies to reduce processing time • Use Tabular Model Scripting Language (TMSL) to execute and automate administrative tasks • Optimize your data model to reduce the memory footprint for VertiPaq • Choose between in-memory (VertiPaq) and pass-through (DirectQuery) engines for tabular models • Select the proper hardware and virtualization configurations • Deploy and manipulate tabular models from C# and PowerShell using AMO and TOM libraries Get code samples, including complete apps, at: https://aka.ms/tabular/downloads About This Book • For BI professionals who are new to SQL Server 2016 Analysis Services or already familiar with previous versions of the product, and who want the best reference for creating and maintaining tabular models. • Assumes basic familiarity with database design and business analytics concepts.

Tabular Modeling in Microsoft SQL Server Analysis Services

An easy-to-follow guide full of hands on examples of real-world Analysis Services cube development tasks. Each topic is explained and placed in context, and for the more inquisitive reader, there also more in-depth details of the concepts used. If you are an Analysis Services cube designer wishing to learn more advanced topic and best practices for cube design, this book is for you. You are expected to have some prior experience with Analysis Services cube development.

Expert Cube Development with SSAS Multidimensional Models

Lakhmi C. Jain

With low computational complexity and relatively short development time, Fuzzy Logic is an indispensable tool for engineering applications. The field is growing at an unprecedented rate, and there is a need for a book that describes essential tools, applications, examples, and perspectives in the field of fuzzy learning. The editors of Fuzzy Learning and Applications fill this need, providing an essential book for researchers, scientists, and engineers alike. Organized into four parts, this book starts with the simplest learning method and gradually arrives at the most complex. First, it summarizes all the symbols and formulae used in the succeeding chapters and presents a historical overview of fuzzy learning. Next, it deals with current techniques, ranging from deterministic to hybrid methods. It then illustrates the enormous number of possibilities offered by fuzzy learning. Finally, it covers hardware dedicated to fuzzy learning, from digital to analog designs and implementations. With Fuzzy Learning and Applications, readers will discover the enormous possibilities fuzzy learning offers.

Fuzzy Learning and Applications

Die DAX-Referenz von den DAX-Koryphäen Die bekannten DAX-Experten Marco Russo und Alberto Ferrari führen Sie mit diesem Leitfaden tief in die Formelsprache DAX (Data Analysis Expressions) ein und helfen Ihnen dabei, alles von einfachen Tabellenfunktionen bis zu komplexer Code- und Modelloptimierung zu beherrschen. Erfahren Sie genau, was unter der Haube passiert, wenn Sie einen DAX-Ausdruck ausführen, und nutzen Sie dieses Wissen, um schnelle, robuste Codes zu schreiben. Diese Ausgabe konzentriert sich auf Beispiele, die Sie mit der kostenlosen Power BI Desktop-Version erstellen und ausführen können, und hilft Ihnen, die leistungsstarke Syntax von Variablen (VAR) in Power BI, Excel oder Analysis Services optimal zu nutzen.

Business Intelligence mit Microsoft Power BI, SQL Server Analysis Services und Excel

Das ultimative DAX-Handbuch

Marco Russo

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