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Advanced Data Vault Modelling Seminar & Lab, Melbourne, March 2018
March 19, 2018 - March 20, 2018
Advanced Data Vault Modelling Seminar & Lab, Melbourne
Registration Fee: $3200 AUD (ex GST).
We are proud to present the Advanced Data Vault Modelling Seminar & Lab for the first time in Australia. It offers the next level beyond the Certified Data Vault Data Modeller course. It has been totally redesigned in 2017 and consists of two (2) intensive days of interactive modelling and group case analysis.
The focus of this course is on providing students with a deeper understanding of the various options available within the Data Vault Ensemble modelling approach.
The goal of this course is to enable data modellers and architects to make the most informed and best possible modelling decisions when establishing their specific modelling pattern in their organization.
This course follows an example-driven approach based on over a dozen real-life modelling cases. For each modelling 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.
This course if for data modellers, data architects, information modellers, 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 modelling approach and the broader concepts of Ensemble Modeling. Ideally certified CDVDM modellers, those actively working with Data Vault or those who have spent time working with data warehouse modelling ensembles.
This course provides the unique opportunity to leverage decades of Data Vault modelling experience from around the World to gain a deeper understanding of Data Vault modelling and the impact of various different patterns. It also provides a venue for connecting with other modellers to share experiences, ideas, models, challenges, discoveries, and to work together towards a common better understanding of ensemble modelling.
- Modelling Events (and the role of links)
- Modelling Context Arrays (impact on satellite design)
- Modelling for Big Data, Cloud & Streaming Deployments (leveraging new platforms)
- Modelling UOW – Event based UOW (advanced link design)
- Modelling UOW – Keyed Instance UOW (hubs vs links)
- Modelling Address (context close to key)
- Modelling the BK in and EDW (dealing with lack of Enterprise Key – also include Anchor/Focal alternatives)
- Modelling the Shuttle for Fuzzy Integration (dealing with realistic integration)
- Modelling the SAT BOK (alternate, degenerate keys, etc.)
- Modelling for Personally Identifiable Information and Privacy (PID)
- Architecture – Defining and Deploying the RAW and BDV (establish approach)
- Ensemble Logical Form (ELF) and Virtualization (in memory)
- Modelling Automation – the Play Book (how and when to automate)
Fee includes course materials, coffee, and lunches.
Hans Patrik Hultgren is a Data Warehousing and Business Intelligence educator, author, trainer, and adviser. Hans is currently working on Business Intelligence and Enterprise Data Warehousing (EDW) with a focus on modelling and architecture including Ensemble and Data Vault modelling. Hans works internationally primarily in Nordics and EU (based in Stockholm), USA and Canada (based in Golden, CO) and down under in Sydney, Melbourne, Brisbane as well as Auckland and Wellington.Hans was with the University of Denver for 20 years and now continues an education focus with hybrid course delivery including e-Learning components
Courses delivered through Genesee Academy use blended and On-Demand DWBI training videos at DataVaultAcademy.com. Hans published the book Modelling the Agile Data Warehouse with Data Vault which is available on Amazon websites.
Specialities: EDW, Data Modelling, DWBI Architecture, Ensemble Modelling, Data Vault Modelling, Speaking, Advising, Data Vault, Agile Data Warehousing, Education, Training, e-Learning, Entrepreneurship.