1. Microsoft Power Query: an Excel Users Dream for Data Extraction and Cleansing Presented by: Belinda Allen Smith & Allen Consulting, Inc. Belinda@saci.com

2. Who am I? www.SACI.com

3. Who am I? A Long Time BI NUT! www.SACI.com

4. Agenda Very Quickly Define Power Query Why data cleansing is important Extract Data and Cleanse Data Q&A www.SACI.com

5. Very Quickly Define Power Query www.SACI.com

6. Get and Transform Data (Office 2016 rename) Power Query is a (downloadable) data analysis feature available for Excel that lets you discover, combine and refine data. https://support.office.com/en-us/article/Introduction-to-Microsoft-Power-Query-for-Excel-6E92E2F4-2079-4E1F-BAD5-89F6269CD605 http://tinyurl.com/Intro2PQ www.SACI.com

7. With Power Query, you can Find and connect data across a wide variety of sources. Merge and shape data sources to match your data analysis requirements or prepare it for further analysis and modeling by tools such as Power BI, Power Pivot and Power View. Create custom views over data. Use the JSON parser to create data visualizations over Big Data and Azure HDInsight. Perform data cleansing operations. Import data from multiple log files. Perform Online Search for data from a large collection of public data sources including Wikipedia tables, a subset of Microsoft Azure Marketplace, and a subset of Data.gov. Create a query from your Facebook likes that render an Excel chart. Pull data into Power Pivot from new data sources, such as XML, Facebook, and File Folders as refreshable connections. With Power Query 2.10 and later, you can share and manage queries as well as search data within your organization. www.SACI.com

8. Power Query Data Sources Web page Excel or CSV file XML file Text file Folder SQL Server database Microsoft Azure SQL Database Access database Oracle database IBM DB2 database MySQL database PostgreSQL Database Sybase Database Teradata Database SharePoint List OData feed Microsoft Azure Marketplace Hadoop File (HDFS) Microsoft Azure HDInsight Microsoft Azure Table Storage Active Directory Microsoft Exchange Facebook www.SACI.com

9. Why data cleansing is important www.SACI.com

10. Clean Data requires no “human interference” 12/1/2015Dec. 1, 2015 December 1, 20151 Dec 15 www.SACI.com

11. Clean Data requires no “human interference” NDN. Dakota N.D.North Dakota www.SACI.com

12. Foundation for Microsoft Power BI www.SACI.com

13. Extract Data and Cleanse Data www.SACI.com

14. M Formulas Excel Formula for Year =Year(date value or field) M Formula for Year =Date.Year(date value or field) www.SACI.com https://msdn.microsoft.com/en-us/library/mt211003.aspx http://tinyurl.com/Mformulas Date.ToText([Report Date], "MMMM")

15. Thanks for Attending www.SACI.com