14,95 €
14,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
7 °P sammeln
14,95 €
14,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
7 °P sammeln
Als Download kaufen
14,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
7 °P sammeln
Jetzt verschenken
14,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
7 °P sammeln
  • Format: ePub

Data analysis expressions (DAX) is the formula language of Power BI. Learning the DAX language is key to empower Power BI users so they can take advantage of these new Business Intelligence (BI) capabilities. This volume clearly explains the concepts of DAX while at the same time offering hands-on practice to engage the reader and help new knowledge stick. This third edition has been updated for the new Power BI Ribbon interface while still providing a bridge for readers wanting to learn DAX in the Power BI, Power Pivot, or Excel.

  • Geräte: eReader
  • mit Kopierschutz
  • eBook Hilfe
  • Größe: 24.44MB
  • FamilySharing(5)
Produktbeschreibung
Data analysis expressions (DAX) is the formula language of Power BI. Learning the DAX language is key to empower Power BI users so they can take advantage of these new Business Intelligence (BI) capabilities. This volume clearly explains the concepts of DAX while at the same time offering hands-on practice to engage the reader and help new knowledge stick. This third edition has been updated for the new Power BI Ribbon interface while still providing a bridge for readers wanting to learn DAX in the Power BI, Power Pivot, or Excel.

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Matt Allington is an Microsoft Data Platform MVP that specialises in teaching and helping business users leverage the Power BI suite of tools to achieve positive business outcomes. Matt has a unique work experience history having spent 15 years working in commercial roles using data, and 10 years working in IT roles supporting business users to get the data they need. It is the combination of this work history and Matt's rare skill and ability to clearly explain technical concepts that make this book such a valuable stand-alone learning resource.