Demystifying the art of Business Intelligence and Data Analytics
summary
Covers concrete BI workflows: SQL backend with Microsoft Dynamics, SQL Management Studio, Power BI Desktop and Report Builder, plus Azure/Hadoop, blob storage and API ETL patterns; recommends importing extra fields because stakeholders often ask for them later and follows an 80/20 rule: 80% prep, 20% build. Distinguishes roles—data scientists build predictive models, data analysts create dashboards—and cites delivered operational reports for membership streaming and Oscars voting and nomination tracking.
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chapters (9)
- 0:00Intro
- 3:15My Tech Stack
- 4:57History of Big Data
- 8:39Types of Big Data
- 11:21Data Scientist vs Data Analyst
- 14:05Chopped analogy
- 22:48Tips Tricks
- 29:10Questions
- 36:46Outro
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