SlideShare a Scribd company logo
Presenter:
Date:
Note:
Company:
eMail:
Twitter:
Remco Broekmans
June 5, 2014
Example for ReConnect
Coarem
Remco@Coarem.nl
RemcoBroekmans
SAP #Hana is a column store #database which
brings #efficiency in storage and access - #in-
memory.
SAP #Hana seems to benefit on their technical
#architecture in using 1 broad Satellite per
#Hub - #benefit no need for #PIT, less tables
Splitting #Sat’s in #rate-of-change as efficient
in storage as column store
#multiple Sat’s to prefer if data coming from
multiple sources (#write efficiency)
#referential join will only perform the join if
data from the joined tables is used create 1
#PIT per #Hub (not as #SQL view)
#Lesson: DV is #efficient way of storing data
#Lesson: #SQL views can’t be read by Hana
Studio
#Lesson: #Hana is still evolving

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Micro update #DDVM sap_hana_june 5, 2014

  • 1. Presenter: Date: Note: Company: eMail: Twitter: Remco Broekmans June 5, 2014 Example for ReConnect Coarem Remco@Coarem.nl RemcoBroekmans
  • 2. SAP #Hana is a column store #database which brings #efficiency in storage and access - #in- memory.
  • 3. SAP #Hana seems to benefit on their technical #architecture in using 1 broad Satellite per #Hub - #benefit no need for #PIT, less tables
  • 4. Splitting #Sat’s in #rate-of-change as efficient in storage as column store #multiple Sat’s to prefer if data coming from multiple sources (#write efficiency)
  • 5. #referential join will only perform the join if data from the joined tables is used create 1 #PIT per #Hub (not as #SQL view)
  • 6. #Lesson: DV is #efficient way of storing data #Lesson: #SQL views can’t be read by Hana Studio #Lesson: #Hana is still evolving

Editor's Notes

  1. SAP #Hana seems to benefit on their technical architecture in using one broad satellite per Hub (business keys) instead of different Sat’s. This is due to the column based store of tables. A big advantage in using 1 Sat is that there is no longer a need of a view over all Sat’s (PIT) surrounding a Hub and there are less tables to maintain.
  2. There are several disadvantages on this approach which lead to the decision not to go for the one big approach. • Data coming in from different sources and/or coming in logically different blocks are hard to load efficient. When writing the changes within that block the full table needs to be addressed in the write action. • In the modeling of the data vault the logical split of data into the different satellites based upon use, rate of change source will be done. It will make sense to reflect those logically modeled Sat’s into physical tables. Furthermore we can directly make use of Powerdesigner to create the DDL’s based upon the logically split Sat’s.
  3. The need for one broad table is less due to the efficiency of the data vault modeling technique. Data vault is efficient in storing data by design. In splitting fast changing attributes from slower (to never) changing attributes the storage of the data itself is already efficient. The need for the extra compression by Hana is almost absent. Another reason that there might be no need for a broad, physical, table is the use of the “referential” join. This join type will only perform the join if data from the joined tables is used. Upon the different Sat’s surrounding a Hub we can create a large, containing all attributes, view as a PIT. When using the referential join type this view can be used for all data deliveries.