Getting Started with Power Query Devin Knight dknight@pragmaticworks.com @knight_devin

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)

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

Ways to Pull in Data Data Tab Power Pivot

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.

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

Data Discovery with Power Query Combine Refine

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

Thanks! Email: dknight@pragmaticworks.com Twitter: @knight_devin Blog: www.devinknightsql.com Resource: http://tinyurl.com/PowerQueryWhitepaper