OBS denna klass körs via vårt PodClass Training protocoll.

Detta innebär att kursen hålls online i en interaktiv utbildningsmiljö tillsammans med övriga klassdeltagare. Kursen är 100%  lärarledd av Hans och består av den vanliga undervisningen och workshops i olika online grupprum. Konceptet är beprövat och mycket uppskattat av över 100 elever sedan Covid i mars. För säkerhets skull så har man efter även möjlighet att kostnadsfritt gå den fysiska kursen på plats när vi startar med dem igen efter Covid.

Om Ensamble Logical Modeling och denna workshop kurs

Enterprise Integration Platforms, such as the Enterprise Data Warehouse, store integrated data in a common database. The features of this common target schema typically include: a) enterprise-wide scope, b) auditable data, c) data sourced from several source systems, d) a conformed, common view of the enterprise data, e) be flexible enough to accommodate perpetual change, and also most commonly f) persisted/historized data. Modeling the Enterprise Data Model Since source systems are based on functional or departmental data models, no source systems can speak to the common model for the enterprise. For this reason, the Enterprise Data Model that determines how data will be integrated, must be based on a common model with an enterprise-wide scope. The design of this model can only come from the business (versus technical) representatives of the organization.

Ensemble Logical Model (ELM) The Ensemble Logical Model is an enterprise business model that is capable of capturing the enterprise-wide, integrated, agile, business model requirements. The ELM model is created by the business representatives of the organization through interactive modeling workshops. These are facilitated Ensemble Logical Modeling sessions.

The ELM workshop is an interactive, facilitated, business-driven design session. This is a 2 (two) day course that depends on the active participation of all attending business representatives. During the workshop, participants work together on identifying the Core Business Concepts (CBCs) of the organization and the Natural Business Relationships (NBRs) that associate the concepts.

This is not a technical session; no computers, only people, white boards & Post-it notes involved!

Registration: 19 500 SEK

Special Early bird price: 17 500 SEK*

*Must register 6+ weeks in advanced to receive early bird price.

Om Ensamble Logical Modeling och denna workshop kurs

Enterprise Integration Platforms, such as the Enterprise Data Warehouse, store integrated data in a common database. The features of this common target schema typically include: a) enterprise-wide scope, b) auditable data, c) data sourced from several source systems, d) a conformed, common view of the enterprise data, e) be flexible enough to accommodate perpetual change, and also most commonly f) persisted/historized data. Modeling the Enterprise Data Model Since source systems are based on functional or departmental data models, no source systems can speak to the common model for the enterprise. For this reason, the Enterprise Data Model that determines how data will be integrated, must be based on a common model with an enterprise-wide scope. The design of this model can only come from the business (versus technical) representatives of the organization.

Ensemble Logical Model (ELM) The Ensemble Logical Model is an enterprise business model that is capable of capturing the enterprise-wide, integrated, agile, business model requirements. The ELM model is created by the business representatives of the organization through interactive modeling workshops. These are facilitated Ensemble Logical Modeling sessions.

The ELM workshop is an interactive, facilitated, business-driven design session. This is a 2 (two) day course that depends on the active participation of all attending business representatives. During the workshop, participants work together on identifying the Core Business Concepts (CBCs) of the organization and the Natural Business Relationships (NBRs) that associate the concepts.

This is not a technical session; no computers, only people, white boards & Post-it notes involved!

Registration: 19 500 SEK

Special Early bird price: 17 500 SEK*

*Must register 6+ weeks in advanced to receive early bird price.


Lär dig Data Vault 2020 modellering av Hans Hultgren.

Uppdaterat kursinnehåll 2020

Den uppdaterade kursen innehåller det senaste inom Data vault. Ett utökat material som inkluderar Streaming och Big Data, integration med Shuttle, den expanderade CBC/NBR analysen, SAT_BOK, GDPR samtycket och andra uppdateringar. 

Kursen går igenom det senaste inom Data Vault 2020 och all vidareutvecklingen som skett sedan ”Data Vault 2.0”. Vill du läsa mer om versionsnummer och Data Vaults utveckling så läs www.datavault3.com 

Lär dig modellera och bygga bättre, mer skalbara och agila datalager som kan samexistera med samtliga dina andra data lösningar.

Registrera dig för en tredagarskurs och bli Certified Data Vault Data Modeler (CDVDM) med den senaste versionen av Data Vault (v40)

Genom lärarledda lektioner, omfattande labbövningar och förberedande onlinelektioner kan du bli certifierad i vad Bill Inmon kallar “optimal choice for modeling the EDW…”

Läs mer om kursinnehållet här.

ADVANCED DATA VAULT MODELING SEMINAR & LAB

The next level beyond the Certified Data Vault Data Modeler course is the Advanced Data Vault.  This course has been updated with the latest material from 2020. The course consists of two (2) intensive days of interactive modeling and group case analysis. This course will bring the participant up to speed on all the latest developments in Data Vault up date 2020, it supersedes the  dated ”Data Vault 2.0” from 2012.
If you want to read more about versioning and development of Data Vault please read www.datavault3.com. 

Teacher: Hans Hultgren
Location: Top of Minds, Stockholm

Special Price 14900 SEK (12900 SEK Early Bird)

FOCUS

The focus of this course is modeling.  In particular this course is focused on providing students a deeper understanding of the various options available within the Data Vault Ensemble modeling approach.

GOAL

The goal of this course is to enable data modelers and architects to make the most informed and best possible modeling decisions when establishing their specific modeling pattern in their organization.

APPROACH

This course follows an example-driven approach based on over a dozen real-life modeling cases.  For each modeling scenario there is a business case that leads to a set of alternatives.  Through interactive group analysis and discussions, and drawing on the experiences of the students in the class, the various alternatives are uncovered, considered, often ranked, and ultimately classified and categorized based on best practice considerations, pros & cons, and how appropriate they might be given the specific business scenarios.

TARGET AUDIENCE

This course if for data modelers, data architects, information modelers, and other data warehousing and business intelligence professionals who work with the design of conceptual, logical or physical data.  Students attending this course should be comfortable with the Data Vault modeling approach and the broader concepts of Ensemble Modeling.  Ideally certified CDVDM modelers, those actively working with Data Vault or those who have spent time working with data warehouse modeling ensembles.

UNIQUE VALUE

This course provides the unique opportunity to leverage decades of Data Vault modeling experience from around the World to gain a deeper understanding of Data Vault modeling and the impact of various different patterns.  It also provides a venue for connecting with other modelers to share experiences, ideas, models, challenges, discoveries, and to work together towards a common better understanding of ensemble modeling.

SELECTED TOPICS

1. Modeling Events (and the role of links)
2. Modeling Context Arrays (impact on satellite design)
3. Modeling for Big Data, Cloud & Streaming Deployments (leveraging new platforms)
4. Modeling UOW – Event based UOW  (advanced link design)
5. Modleing UOW – Keyed Instance UOW (hubs vs links)
6. Modeling Address  (context close to key)
7. Modeling the BK in and EDW  (dealing with lack of Enterprise Key – also include Anchor/Focal alternatives)
8. Modeling the Shuttle for Fuzzy Integration (dealing with realistic integration)
9. Modeling the SAT BOK  (alternate, degenerate keys, etc.)
10. Modeling for Personally Identifiable Information and Privacy (PID)
11. Architecture – Defining and Deploying the RAW and BDV (establish approach)
12. Ensemble Logical Form (ELF) and Virtualization (in memory)
13. Modeling Automation – the Play Book  (how and when to automate)

FEES

Special Price 14900 SEK (12900 SEK Early Bird, six weeks before event)

Fee includes course materials, coffee, and lunches.

ADVANCED DATA VAULT MODELING SEMINAR & LAB

The next level beyond the Certified Data Vault Data Modeler course is the Advanced Data Vault.  This course has been updated with the latest material from 2020. The course consists of two (2) intensive days of interactive modeling and group case analysis. This course will bring the participant up to speed on all the latest developments in Data Vault up date 2020, it supersedes the  dated ”Data Vault 2.0” from 2012.

Teacher: Hans Hultgren
Location: Top of Minds, Stockholm

Special Price 14900 SEK (12900 SEK Early Bird)

FOCUS

The focus of this course is modeling.  In particular this course is focused on providing students a deeper understanding of the various options available within the Data Vault Ensemble modeling approach.

GOAL

The goal of this course is to enable data modelers and architects to make the most informed and best possible modeling decisions when establishing their specific modeling pattern in their organization.

APPROACH

This course follows an example-driven approach based on over a dozen real-life modeling cases.  For each modeling scenario there is a business case that leads to a set of alternatives.  Through interactive group analysis and discussions, and drawing on the experiences of the students in the class, the various alternatives are uncovered, considered, often ranked, and ultimately classified and categorized based on best practice considerations, pros & cons, and how appropriate they might be given the specific business scenarios.

TARGET AUDIENCE

This course if for data modelers, data architects, information modelers, and other data warehousing and business intelligence professionals who work with the design of conceptual, logical or physical data.  Students attending this course should be comfortable with the Data Vault modeling approach and the broader concepts of Ensemble Modeling.  Ideally certified CDVDM modelers, those actively working with Data Vault or those who have spent time working with data warehouse modeling ensembles.

UNIQUE VALUE

This course provides the unique opportunity to leverage decades of Data Vault modeling experience from around the World to gain a deeper understanding of Data Vault modeling and the impact of various different patterns.  It also provides a venue for connecting with other modelers to share experiences, ideas, models, challenges, discoveries, and to work together towards a common better understanding of ensemble modeling.

SELECTED TOPICS

1. Modeling Events (and the role of links)
2. Modeling Context Arrays (impact on satellite design)
3. Modeling for Big Data, Cloud & Streaming Deployments (leveraging new platforms)
4. Modeling UOW – Event based UOW  (advanced link design)
5. Modleing UOW – Keyed Instance UOW (hubs vs links)
6. Modeling Address  (context close to key)
7. Modeling the BK in and EDW  (dealing with lack of Enterprise Key – also include Anchor/Focal alternatives)
8. Modeling the Shuttle for Fuzzy Integration (dealing with realistic integration)
9. Modeling the SAT BOK  (alternate, degenerate keys, etc.)
10. Modeling for Personally Identifiable Information and Privacy (PID)
11. Architecture – Defining and Deploying the RAW and BDV (establish approach)
12. Ensemble Logical Form (ELF) and Virtualization (in memory)
13. Modeling Automation – the Play Book  (how and when to automate)

FEES

Special Price 14900 SEK (12900 SEK Early Bird, six weeks before event)

Fee includes course materials, coffee, and lunches.


Lär dig Data vault modellering av Hans Hultgren.

Uppdaterat kursinnehåll 2020

Den uppdaterade kursen innehåller det senaste inom Data vault. Ett utökat material som inkluderar Big Data, integration med Shuttle Hash, hashade nycklar, den expanderade Unit of Work analysen, SAT_BOK och andra uppdateringar.
Kursen går igenom det senaste inom Data Vault 2020 och all vidareutvecklingen som skett sedan ”Data Vault 2.0”.

Lär dig modellera och bygga bättre, mer skalbara och agila datalager som kan samexistera med samtliga dina andra data lösningar.

Registrera dig för en tredagarskurs och bli Certified Data Vault Data Modeler (CDVDM) med den senaste versionen av Data Vault.

Genom lärarledda lektioner, omfattande labbövningar och förberedande onlinelektioner kan du bli certifierad i vad Bill Inmon kallar “optimal choice for modeling the EDW in the DW 2.0 framework“.

Läs mer om kursinnehållet här.

”Datafication & the Agile Data Enterprise”

Featuring the

Data Vault, Focal Point, & Anchor forms of Ensemble Modeling
Plus the Business Facing Ensemble Logical Modeling (ELM)

A One Day conference with members of the international Data Vault & Ensemble Modeling Enthusiasts (DVEE) consortium

Agenda for Friday the 11 of October

Plats: Top of Minds, Stureplan, Stockholm

Anmälningsavgift: 3500 SEK (ex moms)