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Index
Microsoft Excel 2013: Building Data Models with PowerPivot A Note Regarding Supplemental Files Introduction
Who this book is for Assumptions about you Organization of this book Conventions About the companion content Acknowledgments Support and feedback
Errata We Want to Hear from You Stay in Touch
1. Introduction to PowerPivot
Using a PivotTable on an Excel table Using PowerPivot in Microsoft Office 2013
Adding information to the Excel table Creating a data model with many tables Understanding relationships
Understanding the data model
Querying the data model
The PowerPivot add-In Using OLAP tools and converting to formulas Understanding PowerPivot for Excel 2013 Creating a Power View report
2. Using the unique features of PowerPivot
Loading data from external sources
Creating a PowerPivot PivotTable
Using the DAX language
Creating a calculated column Creating a calculated field Computing complex aggregations like Distinct Count
Refreshing the PowerPivot data model
3. Introducing DAX
Understanding DAX calculations
DAX syntax DAX data types DAX operators DAX values
Understanding calculated columns and fields
Calculated columns Calculated fields
Choosing between calculated columns and measures
Handling errors in DAX expressions
Conversion errors Arithmetical operations
Empty or missing values
Intercepting errors
Formatting DAX code Common DAX functions
Aggregate functions Logical functions Information functions Mathematical functions Text functions Conversion functions Date and time functions Relational functions
Using basic DAX functions
4. Understanding data models
Understanding the basics of data modeling
Producing a report without a data model Building a data model
More about relationships Understanding normalization and denormalization Denormalizing within SQL queries
The PowerPivot query designer When to denormalize tables
Understanding over-denormalization Understanding OLTP and data marts
Querying the OLTP database Data marts, facts, and dimensions Star schemas Which database is the best to query?
Using advanced relationships
5. Publishing to SharePoint
SharePoint 2013 and PowerPivot integration Licensing and setup Publishing a workbook to SharePoint Using the PowerPivot Gallery Connecting Excel to a SharePoint Excel data model Creating a Power View report Managing the PowerPivot data refresh
6. Loading data
Understanding data sources Loading from a database
Loading from a list of tables Loading relationships Selecting related tables Loading from a SQL query Loading from views
Opening existing connections Loading from Access Loading from SQL Server Analysis Services
Using the MDX editor Handling of keys in the OLAP cube Loading from a tabular database
Loading from SharePoint Using linked tables Loading from Excel files Loading from text files Loading from the Clipboard Loading from a report Loading from a data feed Loading from Windows Azure Marketplace
Suggest related data
Refreshing connections
7. Understanding evaluation contexts
Introduction to evaluation contexts
Understanding the row context
Testing your evaluation context understanding
Using SUM in a calculated column Using fields in a calculated field
Creating a row context with iterators Understanding FILTER, ALL, and context interactions Working with many tables
Row contexts and relationships Filter context and relationships Introducing VALUES Introducing ISFILTERED and ISCROSSFILTERED
Evaluation contexts recap Creating a parameter table
8. Understanding CALCULATE
Why is CALCULATE needed? CALCULATE examples
Filtering a single column Filtering with complex conditions
Using CALCULATE inside a row context Understanding circular dependencies CALCULATE rules Understanding ALLSELECTED
9. Using hierarchies
Understanding hierarchies
When to build hierarchies Building hierarchies Creating hierarchies on multiple tables Performing calculations using hierarchies
Using parent/child hierarchies
10. Using Power View
What is Power View? Power View basics
Using the Filters pane Decorating your report
Understanding table, matrix, and cards
Using the matrix visualization Using the card visualization Using a table as a slicer
Using charts
Using the line chart Using the pie chart Using the scatter chart
Using maps Understanding drill-down Using tiles Understanding multipliers Using Power View effectively
11. Shaping the reports
Key Performance Indicators (KPIs) Creating data models for Power View Understanding Power View metadata
Using Summarize By Using the default field set Using the Table Behavior dialog box
Defining sets Creating dynamic sets with MDX Using perspectives Understanding drill-through
12. Performing date calculations in DAX
Building a calendar table
Working with multiple calendar tables Calculating working days Computing the difference in working days
Aggregating and comparing over time
Year-to-Date (YTD), Quarter-to-Date (QTD), and Month-to-Date (MTD) Time intelligence with CALCULATE Computing periods from the prior year (PY) Computing the moving annual total Using other aggregation functions Computing difference over a previous year
Closing balance over time
Semiadditive measures OPENINGBALANCE and CLOSINGBALANCE functions Updating balances by using transactions
Computing moving averages
13. Using advanced DAX
Banding Ranking Using many-to-many relationships Computing new and returning customers Understanding KEEPFILTERS Implementing basket analysis Understanding the power of calculated columns: ABC analysis Handling currency conversion
14. Using DAX as a query language
Understanding EVALUATE Creating an Excel table with EVALUATE Using common functions in queries
Using FILTER Using CALCULATETABLE
Using ADDCOLUMNS
Using VALUES with ADDCOLUMNS
Using SUMMARIZE
Using the ROLLUP option
Linking back a DAX query Computing ABC analysis with a linked-back table Using CROSSJOIN Using GENERATE Querying with DAX Studio
15. Automating operations using VBA
Enabling the DEVELOPER tab of the ribbon Updating a linked-back DAX query through VBA Using the Model object Importing data into the data model using VBA Understanding data connections
16. Comparing Excel and SQL Server Analysis Services
Understanding the different versions of the engine Feature matrix Securing your data Programmability and flexibility Translations Database size Number of databases PowerPivot as a prototyping system
A. About the Authors Index About the Authors Copyright
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