Third set of 5x5 Speed Presenting Updates:
1) Selling Data Vault - Elwyn Lloyd Jones
2) DV as Leverage for Data Migration - Antoine Stelma
3) QUIPU - Juan-José van der Linden
4) Volvo Data Vault Automation - Frederik Naessens
5) Are we ready for a DV Conversion Standard - Frederik Naessens, Stijn Roelens, Kristof Vanduren
Market Analysis in the 5 Largest Economic Countries in Southeast Asia.pdf
Data Vault ReConnect Speed Presenting PM Part Four
1. Presenter:
Date:
Note:
Company:
eMail:
Twitter:
Elwyn Lloyd Jones
5 June 2014
Sevenoaks Systems Ltd.
eljones@ieee.org
2. Types of Argument
1. ad Verecundiam / ad Hominem
NSA, US Army, JP Morgan, ABN AMRO, KPN, Bank of
England, Volvo, Mercedes, Volkswagen, Bill Inmon
2. ad Populum
800 organizations
3. ad Baculum
Audit-able system of records
4. Reducto ad Misericordiam
Throw away and start from scratch
Source integration => Enterprise crash
5. Up and Under
While client watches the BI - we’ll watch the DWH
6. Scallability (cost) – busting Moore’s Law
No columnar Netezza, Exadata, etc.
3. Presenter:
Date:
Note:
Company:
eMail:
Twitter:
Antoine Stelma
June 5 2014
Presentation
Centennium
a.stelma@centennium.nl
@antoinestelma
4. Client:
• wants new ERP
• 10 old source systems
• own plant with intensive processes
• MD/MT data is spread
• unify & simplify architecture
• business process changed
5. A data warehouse that:
• helps speeding up and unifying data migration
• contains current data and processes
• is a solid base for a new ERP
• unifies master & meta data
6. Source Source
Source Source
E D W
Source Source
Source Source
ERP
Migrated data Module 1
ETL
Module 2 Module 3
Module 4
Module 5
E D W
Classic approach
Suggested approach
ERP
Module 1
Module 2 Module 3
Migrated data
Module 4
Module 5
ETL
Organization
7. How?
• scope of data for migration
• type DV
• collect master & metadata in H+S
• unify & data cleaning
• relations/links/etc.
• alignment between old source and new ERP
8. #lesson1: An EDW can help you with data migration by using
DV
#lesson 2: EDW does not have to wait for full ERP
implementation
#lesson 3: It’s all about Data!
# be creative
9. Presenter:
Date:
Note:
Company:
eMail:
Twitter:
Juan-José van der Linden
June 5, 2014
QOSQO
juan-jose.vanderlinden@QOSQO.nl
@OS_Quipu
10. Presenter:
Date:
Note:
Company:
eMail:
Twitter:
Frederik Naessens
June 5 2014
In cooperation with Stijn
Roelens & Kristof Vanduren
Volvo
Frederik@k25.be
11. Volvo: criteria Automation Tool selection
Agile way of working
– Handle migration between DEV-QA-PROD
– Handle parallel development
Automation
– Perform automatic data migration when data
model is modified
– Automatically generate ELT code
Respect industry standards
– Be netezza compliant
– Generate a 100% Data Vault compliant data
model
Fluent interaction between business & it
– Provide or interact with a business data model
15. Presenter:
Date:
Note:
Company:
eMail:
Twitter:
Frederik Naessens
June 5 2014
In cooperation with Stijn
Roelens & Kristof Vanduren
Volvo
Frederik@k25.be
16. Wherescape 3D
What we do:
• Configure Source/Business model using 3NF
modeling conventions
• Add additional metadata at Table / Column
/ Link / … level
• Based on a set of preconfigured rules,
generate:
– Data vault model
– Staging model
– Staging Out views
17. Marketplace
Isn’t this what different software packages or
consultancy firms are currently providing in
the marketplace?
See:
• Presentation of Lulzim Bilali on DWA
congress
• QUIPU
• BIReady
• Generators built on top of data modeling
tools (Powerdesigner, ERWIN,… )
18. DV Model Conversion standard
Is now not the moment to define a DV model
conversion standard?
Why?
• Different tools can align to a single standard
and create synergies
• This can be a catalysator to convince
organisations or people which are new to
DV concepts
• Brings the focus to the really important
concepts of Data Vault:
• Business keys
• UOW
• …
Notas del editor
Ask the audience how much success they’ve had with each of these arguments – and if there are any other good arguments.
NEW ERP will take care of management of MD and MT
Headstart: A big Part of the EDW is ready at the time that the ERP hits production
Difference between unifying and integrating
Yellow is data movement
Dotted line are items for correction in source
Use Data Vault for
Integrate around BK
Unify data and collect data corrections for the source system
Use source system for data corrections
Reload data