Marco Russo
where else to find them
no profile links on file
what they talk about
all 4 in the filters
where they keep going back
- PASS Business Analytics Conference2 editions2013–2015
on a stage with
never shared a talk
who talks about the same things
- Alexander Arvidsson14 talks
- Joey D'Antoni7 talks
- Marthe Moengen7 talks
- Maria Zakourdaev4 talks
- Philip Seamark2 talks
- Mark Russinovich37 talks
| title | conference | date |
|---|---|---|
| Aggregations in Power BI | SQLBits 2024 | 2024-03-19 |
Shows how Power BI rewrites slow DirectQuery SQL into smaller pre-aggregated tables and when that succeeds or fails, using DAX Studio performance traces and… | ||
| Using ALLEXCEPT or ALL/VALUES? | SQLBits 2024 | 2024-03-19 |
Demonstrates that ALL/ALLEXCEPT vs VALUES+REMOVEFILTERS is a functional choice in DAX: ALL or REMOVEFILTERS clear filters, ALLEXCEPT removes every other column… | ||
| Understanding window functions in DAX | SQLBits 2024 | 2024-03-19 |
Covers practical DAX window functions with concrete demos showing when they simplify code or hurt performance: index picks absolute positions (positive from… | ||
| Inventory Valuation Techniques with DAX and Tabular Models | PASS Business Analytics Conference 2015 | 2015-04-20 |
Shows how to compute inventory quantity with a cumulative total over transaction rows and then value using last price or weighted average period, while noting… | ||
| Budgeting with Power Pivot | PASS Business Analytics Conference 2015 | 2015-04-20 |
Uses Power Pivot and Power Query plus DAX and DAX Studio to turn a year-level budget into month-by-month figures, allocating by last‑year sales (2009) to… | ||
| Self-Service Data Modeling | PASS Business Analytics Conference 2013 | 2013-04-10 |
Advanced Excel users can build a usable star schema and compare sales vs. budget without writing SQL by using Power Pivot to host measures and lookup tables… | ||
| Modern Data Warehousing Strategy | PASS Business Analytics Conference 2013 | 2013-04-10 |
Argues that the data warehouse remains essential while Power Pivot, Data Explorer and Hadoop create new pressures and opportunities; recommends a hybrid SQL‑BI… | ||
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