During this intense 2- day course, you will learn how to use PowerPivot and Excel to bring the business intelligence that you have invested in to the forefront for your users and customers. You will start by learning the basics of how to configure and build data models using PowerPivot including a basic star schema. Then, you will dive into PowerPivot models in Excel including a review of DAX- Data Analysis Expressions. Concluding with the latest charts, pivot tables, slicers and sorting capabilities delivered with PowerPivot.
ICT role in 21st century education and its challenges
Power Pivot Workshop Pdf
1. 05/05/2011
REV 1
Pragmatic Works Business Intelligence
PowerPivot and Excel for Business Intelligence (Virtual) - Course
Details Virtual Course Details
Course Title: Pragmatic Business Intelligence-PowerPivot
Duration: 2 Days, 4 hours each day, Virtual
Overview: During this intense 2- day course, you will learn how to use PowerPivot
and Excel to bring the business intelligence that you have invested in to
the forefront for your users and customers. You will start by learning the
basics of how to configure and build data models using PowerPivot
including a basic star schema. Then, you will dive into PowerPivot models
in Excel including a review of DAX- Data Analysis Expressions. Concluding
with the latest charts, pivot tables, slicers and sorting capabilities
delivered with PowerPivot.
Prerequisites: The target of this class is self-service business users and power users who
wish to empower themselves to deliver their own reporting as well as IT
professionals, developers and architects. Some knowledge of Excel
including the basic use of functions is assumed, and very little time is
spent on connecting to cube solutions. No previous knowledge of
Sharepoint or development skills is required.
Prerequisites:
Excel 2010 and the free PowerPivot add-in available from Microsoft’s site
at http://www.powerpivot.com/ are both required.
1 Session Day 1 - Building data models in PowerPivot
Introduction
1.2 Star schema
Design principles and benefits
Normalising vs denormalising
1.3 Implementing a basic star schema in PP
Connecting to SQL
Adding DimDate
Adding a Fact Table
Creating relations
1.4 Pivot Table
Basics
Calculated measures vs calculated columns
DAX Date Calculations
1.5 Building a star schema from a normalised DB, and other sources
SQL joins
Flattening using Power Pivot
2. Data Sources
Cube, Excel,Text files
Data Types
Calculated columns
RELATED
RELATEDTABLE
DAX functions for "transform"
Excel Date Sheet
Excel Lookup table
Linked table
Create a DimDate using DAX functions
1.6 Hub and Spoke architecture
2 Session Day 2 - Presenting PowerPivot models in Excel
2.1 Context - deeper DAX
Introduction to context
Row context
Filter context
Query context
2.2 Calculations
CALCULATE
Ratios and percentages
Ranking
Balances
2.3 Sets
Introduction to sets
Dynamic Sets
Static Sets
2.4 Excel
Basic charts
Basic pivot tables
Custom sorting
Slicers
Sparklines
CUBEVALUE & CUBEMEMBER
Convert to Formulae
WhatIf Analysis
Thomas Duclos
Regional Territory Manager - Pragmatic Works Software
O: (617) 326-3851 | C: (603) 834-0289 | F: (760) 462-3959
IA, IL, IN, MI, MN, WI and Eastern Canada
Business Intelligence
Data Management Solutions
SOA and Business Process
Security Solutions