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Physical &Virtual DataVault 2.0 Automation
Erik van der Hoeven
17 October 2019
with
Agenda
• My journey
• Customer journey
• Future State Architecture
• WhereScape pilot
• First DV 2.0 implementation
• First EDM implementation
• Conclusion
• Recommendations
My journey of: Transforming your data into Wisdom!
2008 -2012
4 Kim
ball projects
Autom
ated pattern loading
2
DataVault 1.0 projects
DataVault 2.0Certificate
First DataVault 2.0 project
2013 2014 -2017 2018 2019 - present2018
First Big Data Project
Non Lean and mature process Lean and mature process
Erik van der Hoeven
Customer journey
What made this journey special
• Historization with DataVault 2.0
• Automation with WhereScape
• Tool integration
• Contract first
First EDM
im
plem
entation
04-2019
FutureStateArchitecture
Pilot
First DV
2.0 im
plem
entation
08-2019 - 09-201905-2019 10-2019
Future State Architecture
Source
Historised
Persistent Store
(RawVault)
Consumption
Data Delivery
Layer
Delivery
Transform
ations
Semantic Layer
Business
Transform
ations
Functional Tooling Database
PilotWhereScape
Define Test Score Launch
Architect Programmanager
Fin. Director
BI Team BI Team
Architect Programmanager
Fin. Director
Real value
Trust in the supplier
Trust in the BITeam
Loyalty from the BITeam +
Mature(2) dev team
Common understanding
Trust in the FSA
Foundation for future dev.
First DV 2.0 implementation
Solution Architecture
Savings
Mortgages
BizTalk Server
Azure
Integration
Services
PORTAL
Logging
Virtual
MDS
On Premise Cloud
Search
Customers
Persistent
RawVault
DataDelivery
First LDM implementation
Raw Vault: Data Vault Model
ODS Savings
Business Vault: EDM Based Data Model
ACBS MDS …
Data
Delivery
Layer
stg_SRC_SourceTable
Entity_S Entiy_L_EntityEntity_H
dv_CONS_Dimension
CONS_Dimension
dv_CONS_Fact
CONS_Fact
stg_SRC2_SourceTable
Virtual Staging
Staging
Raw Vault: Staging
Virtual Transformations + Business Rule Versioning
Persistent
Cached
Virtual
CACHED
Virtual
VirtualData Delivery: Consumer based model
Deployment Development
VirtualRawVault Base Views
Compress Timelines
Fix functional Timeline, Datatype Conversion, Attribute Naming
Determine Business Keys, Create SID
Lookup Reference Data, Split table, Calculate new Change Hash(es)
Union sources
dbo.SRC_SourceTable_H dbo.SRC_SourceTable_S dbo.SRC_SourceTable_L
bv_SRC_SourceTable_H bv_SRC_SourceTable_S bv_SRC_SourceTable_L
SQL Table Denodo Base View Denodo Interface View Denodo View
ConclusionWhereScape
• WhereScape helps us to have a predictable mature BI
Delivery Process
• It offers us an open framework where it helps us to
integrate with different tools
• It ensures that our Data Warehouse is fully auditable
and reliable (BCBS 239)
Pro
Con
• Integrating WhereScape with Denodo is not out of the
box.
• Open platform requires you to make choices
• Data & Model Driven
Recommendation
1. Create aVision for BI
2. Use an architecture to create a path
3. Build a loyal and skilful BITeam
4. UseWhereScape to automate your DataWarehouse
5. Aim high
6. Start now

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Presentation by Erik van der Hoeven (Wisdom as a Service) at the Data Vault Modelling and Data Governance conference on Oct. 17, 2019: Physical and Virtual Dstsa Vault 2.0 Automation with WhereScape at a Major Dutch Bank

  • 1. Physical &Virtual DataVault 2.0 Automation Erik van der Hoeven 17 October 2019 with
  • 2. Agenda • My journey • Customer journey • Future State Architecture • WhereScape pilot • First DV 2.0 implementation • First EDM implementation • Conclusion • Recommendations
  • 3. My journey of: Transforming your data into Wisdom! 2008 -2012 4 Kim ball projects Autom ated pattern loading 2 DataVault 1.0 projects DataVault 2.0Certificate First DataVault 2.0 project 2013 2014 -2017 2018 2019 - present2018 First Big Data Project Non Lean and mature process Lean and mature process Erik van der Hoeven
  • 4. Customer journey What made this journey special • Historization with DataVault 2.0 • Automation with WhereScape • Tool integration • Contract first First EDM im plem entation 04-2019 FutureStateArchitecture Pilot First DV 2.0 im plem entation 08-2019 - 09-201905-2019 10-2019
  • 5. Future State Architecture Source Historised Persistent Store (RawVault) Consumption Data Delivery Layer Delivery Transform ations Semantic Layer Business Transform ations Functional Tooling Database
  • 6. PilotWhereScape Define Test Score Launch Architect Programmanager Fin. Director BI Team BI Team Architect Programmanager Fin. Director Real value Trust in the supplier Trust in the BITeam Loyalty from the BITeam + Mature(2) dev team Common understanding Trust in the FSA Foundation for future dev.
  • 7. First DV 2.0 implementation Solution Architecture Savings Mortgages BizTalk Server Azure Integration Services PORTAL Logging Virtual MDS On Premise Cloud Search Customers Persistent RawVault DataDelivery
  • 8. First LDM implementation Raw Vault: Data Vault Model ODS Savings Business Vault: EDM Based Data Model ACBS MDS … Data Delivery Layer stg_SRC_SourceTable Entity_S Entiy_L_EntityEntity_H dv_CONS_Dimension CONS_Dimension dv_CONS_Fact CONS_Fact stg_SRC2_SourceTable Virtual Staging Staging Raw Vault: Staging Virtual Transformations + Business Rule Versioning Persistent Cached Virtual CACHED Virtual VirtualData Delivery: Consumer based model Deployment Development VirtualRawVault Base Views Compress Timelines Fix functional Timeline, Datatype Conversion, Attribute Naming Determine Business Keys, Create SID Lookup Reference Data, Split table, Calculate new Change Hash(es) Union sources dbo.SRC_SourceTable_H dbo.SRC_SourceTable_S dbo.SRC_SourceTable_L bv_SRC_SourceTable_H bv_SRC_SourceTable_S bv_SRC_SourceTable_L SQL Table Denodo Base View Denodo Interface View Denodo View
  • 9. ConclusionWhereScape • WhereScape helps us to have a predictable mature BI Delivery Process • It offers us an open framework where it helps us to integrate with different tools • It ensures that our Data Warehouse is fully auditable and reliable (BCBS 239) Pro Con • Integrating WhereScape with Denodo is not out of the box. • Open platform requires you to make choices • Data & Model Driven
  • 10. Recommendation 1. Create aVision for BI 2. Use an architecture to create a path 3. Build a loyal and skilful BITeam 4. UseWhereScape to automate your DataWarehouse 5. Aim high 6. Start now