Worked for my needs.
No, it's not an "end-to-end Microsoft BI book" - it could never even be an "end-to-end SSAS Multidimensional book", considering the intentionally limited coverage of MDX - and no, it's definitely not a "complete waste of time". I'd call it a good reference on the multidimensional model - ex-MDX, as noted, although MDX is introduced and discussed - and I definitely found it useful when preparing for the 070-466 exam; my other references included books by Lidberg and DeWald et al.
This is an excellent book that does a great job of explaining some rather exoteric concepts. The authors may suffer from being too close to the topic to have named the book.
P. Sivakumar
P. Sivakumar
Sivakumar Naganathan
V. Sivakumar Reddy
P. M. Sivakumar
Bhuvaneswari Sivakumar
G. L. Sivakumar Babu
Bellie Sivakumar
G. L. Sivakumar Babu
Sivakumar Saravan
Sivakumar Alagumalai
Sivakumar Saravan
Sivakumar Harinath
Sivakumar Harinath
Sivakumar Alagumalai
Mannava Vk Sivakumar
Ēt̲t̲umānūr Śivakumār
Ēt̲t̲umānūr Śivakumār
Ēt̲t̲umānūr Śivakumār
Marie Chaix
Erik W. Larson
Nick Engler
Audrey L. Heining-Boynton
Simon Furman
Donald B. Lemke
Ben Harper
Golden Books
Tom Lucas
Martin Latham
P.J. Mccalla
Marcus McGee
Daisy Meadows
Geoff Kersey
Marshall Jon Fisher
Dave Martin
Mike Sewell
Bill Rose
Hinkler Books
Murray Mednick
Anne Perry
Russell M. Lawson
Adam Hamilton
Gottfried Keller
Quintin Jardine
Blonnie Bunn Wyche
Dan McGowan
Anna Jones
Donald C. Rizzo
Barbara Wexler
Laurence Laurendon
Carole Mortimer
Steck-Vaughn
Valerie Ford Jacob
Joe Edley
Cliff Ryder
Alison Brettle
Stuart Murray Williams
Darcey Bussell
Norma Williams Lasch
Nick DiChario
Alice Muir
Cara Colter
Jennifer Estep