Fr. 55.50

The Definitive Guide to DAX

English · Paperback / Softback

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Informationen zum Autor Marco Russo and Alberto Ferrari cofounded sqlbi.com, where they regularly publish articles about Microsoft PowerPivot, DAX, Power BI, and SQL Server Analysis Services. They also speak regularly at major international conferences, such as TechEd, Ignite, PASS Summit, and SQLBits. Both consult and mentor on business intelligence (BI) and Microsoft BI technologies, having worked with them since 1999. Their books include  Microsoft Excel 2013 Building Data Models with PowerPivot , Microsoft SQL Server 2012 Analysis Services: The BISM Tabular Model , and Microsoft PowerPivot for Excel 2010: Give Your Data Meaning . Klappentext The Definitive Guide to DAX is the most comprehensive and authoritative guide to Microsoft's DAX language for business intelligence and analytics. While other books cover only the basics! this guide offers expert guidance on everything intermediate-to-advanced Excel users and BI professionals need to know! from the basics to innovative high-performance techniques. Zusammenfassung 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 Inhaltsverzeichnis Foreword    xvii Introduction    xix Chapter 1: What is DAX?    1 Understanding the data model    1 Understanding the direction of a relationship    3 DAX for Excel users    5 Cells versus tables    5 Excel and DAX: Two functional languages    8 Using iterators    8 DAX requires some theory    8 DAX for SQL developers    9 Understanding relationship handling    9 DAX is a functional language    10 DAX as a programming and querying language    11 Subqueries and conditions in DAX and SQL    12 DAX for MDX developers    13 Multidimensional vs. Tabular    13 DAX as a programming and querying language    13 Hierarchies    14 Leaf-level calculations    15 Chapter 2: Introducing DAX    17 Understanding DAX calculations    17 DAX data types    18 DAX operators    21 Understanding calculated columns and measures    22 Calculated columns    22 Measures    23 Variables    26 Handling errors in DAX expressions    26 Conversion errors    26 Arithmetical operations errors    27 Intercepting errors    30 Formatting DAX code    32 Common DAX functions    35 Aggregate functions    35 Logical functions    37 Information functions    39 Mathematical functions    39 Trigonometric functions    40 Text functions    40 Conversion functions    41 Date and time functions    42 Relational functions    42 Chapter 3: Using basic table functions    45 Introducing table functions    45<...

Product details

Authors Alberto Ferrari, Marc Russo, Marco Russo
Publisher Microsoft Press
 
Languages English
Product format Paperback / Softback
Released 31.12.2018
 
EAN 9780735698352
ISBN 978-0-7356-9835-2
Dimensions 188 mm x 228 mm x 28 mm
Series Microsoft Press
Business Skills
Microsoft Press
Subjects Natural sciences, medicine, IT, technology > IT, data processing > IT
Non-fiction book

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