DataSense is, together with the internal team, implementing a new Enterprise Data Warehouse (EDW) at Bank Degroof Petercam. The goal of the EDW is to integrate and historicize all changes of data of the Belgian and Luxembourg entities in the medium term and also those of the for the other entities in the long term. All of this complying with and respecting regulations (legal reporting) and service obligations (tax certificates, reports, taxes on funds, return on portfolio, ...). The implementation is done according to the principles of Data Vault 2.0 and automation of the RAW Data Vault layer. For this purpose they use Talend (Enterprise Open Source data integration platform), Vaultspeed (Data Vault Automation) and Oracle (db platform).

1. The Data Vault Modelling & Data Governance Conference
17/10/2019
Data Vault 2.0 Automation
for EDW

2. Bank Degroof Petercam
• 1871
• Independent Group
• Activities
• Private Banking
• Institutional Asset Management
• Investment Banking
• Asset Services
• Headquarter in Brussels

3. DataSense
• Part of Cronos Group
• Focus on Data Vault 2.0 automation projects
• Proven reference architecture
• (Enterprise) Open Source
• Headquarter in Leuven
• New company : NXTDATA

4. Talend - a leader in Data Integration & Integrity
3,000+
Customers
1,200+ Employees
Recognized as a
Leader
100% Cloud
Growth
Revenue
$198M
+33%

5. Talend - a global community who provides guidance and insights
3M+
Downloads of
Talend Open Studio
50.000+
Posts in Community
Forums
900+
connectors

6. Talend Data Fabric

7. Data Vault 2.0 Automation
Dan Linstedt
“Businesses are looking to do things better, faster and cheaper, and you really can’t do that without automating or
generating your solutions in your data warehousing system.
In order for your information delivery team to be agile and provide the data downstream quicker, you need a metadata-
driven automation tool.”

8. Bank Degroof Petercam Case
• Current Data Warehouse
• contains mainly Belgian data
• data is stored & loaded in different ways in data marts for certain
purposes and are highly modified
• time to market problem
• Luxembourg is not having a proper data warehouse
• Many departments need data
• To respond to regulatory, legal, accounting, customer, analytic and
marketing reports.
• To provide consolidated dashboard for decisional management.
• To provision system and application with common standardized data
• Lots of projects are asking for raw to near-raw data in order to
perform process of their own .
• Data & Architecture principles are defined and need to be
implemented into the landscape.

9. THE CURRENT DATA ARCHITECTURE
CAN’T KEEP UP

10. WHAT’S NEEDED IS A
FORCE MULTIPLIER

11. TO PUT
MORE DATA TO WORK
WITH LESS IT BUDGET

12. Approach
Hands-on
Workshop
Assessment
Study
Data Vault 2.0
Automation Pilot
Data Vault 2.0
Automation Project

13. Approach
Hands-on
Workshop
Data Vault 2.0
Automation Pilot
Data Vault 2.0
Automation Project
Assessment
Study
• As-is, to-be & specific budget estimates
• Governance
• Team skills / Profiles
• Methodology / Standards
• Solution Architecture
• Data Modeling
• Data Quality Strategy
• Metadata Approach
• Testing Strategy
• Technical Architecture
• Tools such as ELT, CDC, database, deployment, reporting, ….
• Documentation
• Data Roadmap
à Give advice + a proposal

14. Approach
Data Vault 2.0
Automation Pilot
Data Vault 2.0
Automation Project
Assessment
Study
• Data Vault 2.0 session
• Intro in Vaultspeed (Data Vault 2.0 automation tool)
• Hands-on session and exercise in Vaultspeed
• Generate via the Vaultspeed the Talend jobscripts
and import them into Talend Data Integration
• See the result of the custom made logging
• Q&A
Hands-on
Workshop

15. Approach
Data Vault 2.0
Automation Project
Assessment
Study
Hands-on
Workshop
• 4 sprints of 3 weeks
• Setup the environment
• Data Vault 2.0 and Vaultspeed training
• Integrate a first set of tables of the contract system of LU
• Knowledge sharing sessions
• Deliver an information mart for Accounting LU
Data Vault 2.0
Automation Pilot

16. Approach
Hands-on
Workshop
Assessment
Study
Data Vault 2.0
Automation Pilot
Data Vault 2.0
Automation Project

17. BDP version of the EDW – Functional view

18. NO Source Driven Data Vault
GIPERSF
GISOCIF
Natural Persons
Additional
Information
Legal Persons
Additional
Information
RELATIONS
GIRELAF
PARTY
HUB_PERSONS SAT_PERSONS_GIRELAF
SAT_PERSONS_CRM
RAW Data Vault
SAT_PERSONS_GIPERSF
SAT_PERSONS_GISOCIF
Data Sources
CRM
CONTRACT SYSTEM
Solution Logical Data Model (=SLDM)

19. More than a data warehouse
…
CRM CONTRACT
SYSTEM
BE
NEW
CONTRACT
SYSTEM
BIDATAHUB
CONTRACT
SYSTEM
LU

20. BDP current version of the EDW – Technical view
Landing
Zone
Raw Data Vault layer
Talend
extraction
jobs
Data
Sources
ELT
Business Data Vault
layer
Generated DDL & ELT
JSON
queueing
MVIEWS
Virtualized
Information
layer
ELT

22. Thank you for your attention!
Bart Gielen
Managing Partner
+32 479 81 68 83
bart.gielen@datasense.be
www.datasense.be
www.linkedin.com/in/bartgielen-datasense