Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Dedications,
Supporting Workbooks and Data Sets,
Errata and Book Support,
A Note on Hyperlinks,
Foreword and Forward,
Introduction - Our Two Goals for this Book,
1 - A Revolution Built On YOU,
2 - Power Pivot and the Power BI Family: Making Sense of the Various Versions,
3 - Learning Power Pivot "The Excel Way",
4 - Loading Data Into Power Pivot,
5 - Intro to Calculated Columns,
6 - Introduction to DAX Measures,
7 - The "Golden Rules" of DAX Measures,
8 - CALCULATE() – Your New Favorite Function,
9 - ALL() – The "Remove a Filter" Function,
10 - Thinking in Multiple Tables,
11 - "Intermission" – Taking Stock of Your New Powers,
12 - Disconnected Tables,
13 - Introducing the FILTER() Function, and Disconnected Tables Continued,
14 - Introduction to Time Intelligence,
15 - IF(), SWITCH(), BLANK(), and Other Conditional Fun,
16 - SUMX() and Other X ("Iterator") Functions,
17 - Multiple Data Tables,
18 - Multiple Data Tables – Differing Granularity,
19 - Performance: Keep Things Running Fast,
20 - Power Query to the Rescue,
21 - Power BI Desktop,
22 - "Complicated" Relationships,
23 - Row and Filter Context Demystified,
24 - CALCULATE and FILTER – More Nuances,
25 - Time Intelligence with Custom Calendars: Greatest Formula in the World,
26 - Advanced Calculated Columns,
27 - New DAX Functions ... and Variables!,
28 - "YouTube for Data" – The Importance of a Server,
PS: Can We Ask You for a Special Favor?,
A1 - Power Pivot and SSAS Tabular: Two Tools for the Price of One (again!),
A2 - Cube Formulas – the End of GetPivotData(),
A3 - Some Common Error Messages,
A4 - People: The Most Powerful Feature of Power Pivot,
Index,
A Revolution Built On YOU
Does This Sound Familiar?
(Updated Fall 2015, but we decided to leave this part in Rob's first-person "voice" – because the authenticity is better-preserved).
In the movie Fight Club, Edward Norton's character refers to the people he meets on airplanes as "single serving friends" – people he befriends for three hours and never sees again. I have a unique perspective on this phenomenon, thanks to a real-world example that is relevant to this book.
A woman takes her seat for a cross-country business flight and is pleased to see that her seatmate appears to be a reasonably normal fellow. They strike up a friendly conversation, and when he asks her what she does for a living, she gives the usual reply: "I'm a marketing analyst."
That answer satisfies 99% of her single-serving friends, at which the conversation typically turns to something else. However, this guy is the exception, and asks the dreaded follow-up question: "Oh, neat! What does that mean?"
She sighs, ever so slightly, because the honest answer to that question always bores people to death. Worse than that actually: it often makes the single-serving friend recoil a bit, and express a sentiment bordering on pity.
But she's a factual sort of person, so she gives a factual answer: "well, basically I work with Excel all day, making PivotTables." She fully expects this to be a setback in the conversation, a point on which we share no common ground.<
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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