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Data Warehouse VIP Tour
Data Warehouse VIP Tour
Data Warehouse VIP Tour
Data Warehouse VIP Tour
Data Warehouse VIP Tour
Data Warehouse VIP Tour
Data Warehouse VIP Tour
Data Warehouse VIP Tour
Data Warehouse VIP Tour
Data Warehouse VIP Tour
Data Warehouse VIP Tour
Data Warehouse VIP Tour
Data Warehouse VIP Tour
Data Warehouse VIP Tour
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Data Warehouse VIP Tour

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A behind-the-scenes look at data warehouse construction. See what Business Intelligence brings to management decision-making.

A behind-the-scenes look at data warehouse construction. See what Business Intelligence brings to management decision-making.

Published in: Technology, Business
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  • 1. T h e D a t a W a r e h o u s e T o u r George Pond Sr. Business Analyst / Data Warehouse Developer http://www.gpond.com 1
  • 2. W e lc o m e t o C y p r e s s C a y M a r in a H o w w o u ld y o u b u ild a d a t a w a r e h o u s e ? W h a t w o u ld it d o f o r y o u r b u s in e s s ? T h e a n s w e r s a r e in s id e . L e t ’s b e g in y o u r t o u r w it h f u n c t io n a l r e q u ir e m e n t s . ...Each night, a closing report is prepared by Managers at Baracles (restaurant/pub), Dockside Gifts & Sundries, and at the boat rental kiosk... ...The proposed solution must bring in this information. Cypress Cay Managers must be able to quickly and easily retrieve daily scorecards and drill-down reports for trend analysis... 2
  • 3. W e f in d c r it ic a l r e q u ir e m e n t s t h a t c a ll f o r O n - L in e A n a ly t ic a l P r o c e s s in g ...The proposed solution must bring in this information. Cypress Cay Managers must be able to quickly and easily retrieve daily scorecards and drill-down reports for trend analysis... O L A P c u b e s e n a b le s c o r e c a r d s , d r ill- d o w n r e p o r t s a n d t r e n d a n a ly s is . 3
  • 4. W e d is c u s s d a t a r e q u ir e m e n t s w it h C y p r e s s C a y M a n a g e m e n t A L o g ic a l D a t a M o d e l id e n t if ie s w h a t t h e c u b e m u s t c o n t a in . 4
  • 5. A D im e n s io n a l M o d e l f o r w a r d -e n g in e e r s in t o a P h y s i c a l D a t a b a s e . B o t h r e f le c t t h e L o g ic a l M o d e l. 5
  • 6. O u r t o u r p a u s e s a t t h e n e w , e m p t y d a t a b a s e C y p r e s s C a y k e e p s P o in t O f S a le t a b le s , f la t f ile s a n d s p r e a d s h e e t s . E a c h Microsoft SQL SSIS m u s t b e m o v e d in t o s t a g i n g t a b l e s . Server SSAS SSRS 6
  • 7. S Q L S e r v e r I n t e g r a t io n S e r v ic e s ( S S I S ) m o v e s d a t a in t o s t a g in g t a b le s Microsoft SQL SSIS Server SSAS SSRS 7
  • 8. A f t e r s t a g in g , d a t a is m o v e d a g a i n S Q L S e r v e r A n a ly s is Microsoft SQL SSIS S e r v ic e s ( S S A S ) Server b u ild s 4 f a c t t a b le s a n d 5 d im e n s io n s SSAS SSRS o f C y p r e s s C a y d a t a 8
  • 9. H ie r a r c h ie s p r o v id e d r ill- d o w n p a t h s in t o t h e O L A P c u b e Microsoft SQL SSIS Server Hierarchy. SSAS SSRS 9
  • 10. W it h in t h e d a t a w a r e h o u s e , w e s e e t r e n d a n a ly s is a d d e d t o t h e c u b e Microsoft SQL SSIS Server SSAS SSRS S S A S in c lu d e s f o r m s f o r a d d in g c a lc u la t io n s a n d K e y P e r f o r m a n c e I n d ic a t o r s ( K P I ) . 10
  • 11. M u lt i- d im e n s io n a l c u b e s r e q u ir e M u lt i- D im e n s io n a l e X p r e s s io n s : M D X This MDX query builds a matrix of dates and food sales trends. 11
  • 12. M ic r o s o f t E x c e l p i v o t t a b l e s c a n p u b lis h a m a t r i x in g r a p h ic a l f o r m a t N o w o u r m a t r ix h a s f ilt e r s , d r i ll- d o w n c a p a b ilit y a n d s t a t u s in d ic a t o r s . 12
  • 13. W it h S Q L S e r v e r R e p o r t in g S e r v ic e s , C y p r e s s C a y s e e s b e y o n d d r y f a c t s . Microsoft SQL SSIS Server P a t t e r n s e m e r g e SSAS SSRS a n d p e r f o r m a n c e is t r a c k e d t h r o u g h s lic e , d ic e a n d d r ill- d o w n . 13
  • 14. T h is c o n c lu d e s y o u r D a t a W a r e h o u s e t o u r Y o u w o n ’t f in d C y p r e s s C a y M a r in a o n a n y m a p . I t is a c o m p o s it e o f h o s p it a lit y b u s in e s s e s in t h e O r la n d o a r e a . For your tour today, I generated randomized data and built an OLAP cube with four fact tables and five dimensions. Thank you for taking the tour! George Pond http://www.gpond.com 14

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