Data Vault ReConnect Speed Presenting PM Part Four

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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

Daten & Analysen Technologie

Presenter:
Date:
Note:
Company:
eMail:
Twitter:
Elwyn Lloyd Jones
5 June 2014
Sevenoaks Systems Ltd.
eljones@ieee.org

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.

Presenter:
Date:
Note:
Company:
eMail:
Twitter:
Antoine Stelma
June 5 2014
Presentation
Centennium
a.stelma@centennium.nl
@antoinestelma

Client:
• wants new ERP
• 10 old source systems
• own plant with intensive processes
• MD/MT data is spread
• unify & simplify architecture
• business process changed

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

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

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

#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

Presenter:
Date:
Note:
Company:
eMail:
Twitter:
Juan-José van der Linden
June 5, 2014
QOSQO
juan-jose.vanderlinden@QOSQO.nl
@OS_Quipu

Presenter:
Date:
Note:
Company:
eMail:
Twitter:
Frederik Naessens
June 5 2014
In cooperation with Stijn
Roelens & Kristof Vanduren
Volvo
Frederik@k25.be

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

3D – Use predefined but flexible Model Conversion rules

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

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,… )

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
• …

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