Today was a mix of SQL clarifications and Power BI exploration. Iβm slowly connecting the dots between data storage and visualization.
π’ SQL Learnings:
- Local vs Global Variables β Understood how scope works in SQL for query execution.
- Composite Key β Learned how multiple columns together can act as a unique key in relational databases.
π΅ Power BI Learnings:
From my handwritten notes today π, I explored:
- Measures β How to generate and use them effectively.
- RankX β Expression to rank data based on filters.
-
Date Table β Creating a calendar table using
CALENDAR()
and adding columns likeYear
,Month
, etc. - KPI β Learned that sample KPIs are already available, useful for yearly reports.
- Variables in DAX β Using them improves performance and makes queries readable.
- Data Shaping & Modeling β Key step before visualization.
- Publishing Reports β Explored Microsoft login usage for publishing dashboards.
β‘ Optimization Insight:
- Optimizing model performance is crucial for handling large datasets.
- DAX Studio helps in debugging and checking performance.
π Each day, I feel my foundation in SQL + Power BI is getting stronger. Excited to dive deeper into DAX queries and performance tuning next! π
#DataAnalytics #SQL #PowerBI #DAX #LearningJourney
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