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