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{"id":656,"date":"2018-06-23T23:17:18","date_gmt":"2018-06-24T06:17:18","guid":{"rendered":"https:\/\/bonbonsguide.com\/wp\/?p=656"},"modified":"2018-06-23T23:17:18","modified_gmt":"2018-06-24T06:17:18","slug":"msptda-02-data-analysis-business-intelligence-terms-microsoft-power-tools-for-data-analysis-class","status":"publish","type":"post","link":"https:\/\/bonbonsguide.com\/wp\/blog\/2018\/06\/msptda-02-data-analysis-business-intelligence-terms-microsoft-power-tools-for-data-analysis-class\/","title":{"rendered":"MSPTDA #02: Data Analysis Business Intelligence Terms: Microsoft Power Tools for Data Analysis Class"},"content":{"rendered":"Download Excel File: https:\/\/ift.tt\/2tvSYbd
\nDownload pdf Notes: https:\/\/ift.tt\/2lwxPdq<\/p>\n
This video defines these terms and concepts:
\n1. (00:10) Introduction
\n2. (01:17) Data Analysis, Business Intelligence
\n3. (02:08) Query
\n4. (03:03) Goal of Data Analysis and Business Intelligence:
\n5. (03:30) Raw Data
\n6. (03:59) Proper Data Set, Field Names \/ Column Names \/ Header Names
\n7. (04:52) Data Type
\n8. (05:20) Naming things Smartly & Consistently
\n9. (07:41) Excel Table feature
\n10. (09:48) Grain or Granularity
\n11. (12:07) Keys: Primary Key & Foreign Key
\n12. (14:16) Fact Table \/ Transaction Table and Dimension Table \/ Lookup Table \/ Entity Tables
\n13. (17:04) Data Models
\n14. (19:43) Flat Table in Excel
\n15. (20:11) Relationships
\n16. (22:30) Star Schema Data Model
\n17. (23:32) Snow Flake Data Model
\n18. (25:12) Relational Database = Normalized Database
\n19. (25:46) Columnar Database
\n20. (27:52) Clean Raw Data, Transform Data Sets, Import Data
\n21. (29:00) ETL, Data Warehousing, SQL
\n22. (30:35) Concluding Picture and Summary<\/p>\n