1. Getting Started with Power Query
Devin Knight
@knight_devin

2. Self-Service BI Lifecycle
Data Extraction
Data Modeling
Data Presentation
Data Extraction – Pulling Data out of sources (Data Wrangler)
Data Modeling – Preparing the data for reporting (Creating relationships, Creating Hierarchies, Calculations, KPIs, etc..) (Data Wrangler)
Data Presentation – Visualizing the data in some kind of reporting layer (Power Analysts)

3. Key Performance Indicators
Data Extraction
Data Modeling
Data Presentation
Power Pivot
Databases
Power Pivot
Excel
Tables
Power Query
Flat Files
Power View
Charts
Reporting Services
Power Map
Apps For Office
Relationships
Cloud
Hierarchies
Power View
Calculations
Tables
Template
Power Map
Power Query
Key Performance Indicators
Charts
SharePoint Lists
Maps
Internet
Exporting
Active Directory
Why do we need two tools to Data Extraction?
Facebook
Power Map
Hadoop
3-D Maps
Template

4. Ways to Pull in Data
Data Tab
Power Pivot

5. Do you have Big Data Problems?
How About….
Variety
85% of New Data is Coming in New Formats (Largely lead by the Big Data Movement)
Rapid Rise in the Volume of Available Data
User Expectations
Data Integration without IT
Just Data Problems?
Data Problems?
Current Integration involves IT, which leaves the business waiting and often unsatisfied.

6. Why Power Query?
Discovery and connectivity to a wide range of data sources, including publicly available data of all sizes & shapes
Highly interactive and intuitive experience for rapidly and iteratively building queries over any data source, any size.
Consistency of experience, and parity of query capabilities over all data sources
Joins across different data sources; ability to create custom views over data that can then be shared with team/department
Enable Self-Service Data Discovery, Query, Transformation, and Mashup Experience for Information Workers, via Excel and Power Pivot
With Power Query the focus is on the End User
Some features will appeal to technical but the goal is to appeal to all

7. Data Discovery with Power Query
Combine
Refine

8. Demos
Discover -> Consume -> Visualize Data Wrangling Putting it all together

9. Thanks!
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