Discover how modelstorming (modeling + brainstorming) with business stakeholders overcomes the limitations of traditionally separate requirements analysis and data modeling to create a shared data language for business and IT.
Over three days of engaging virtual classroom sessions, quizzes, games and team exercises, Lawrence will build on Kimball method, industry-standard dimensional modeling and go beyond the books to provide you with practical tools and techniques for BI data design.
The class will be live and interactive using Whereby (like Zoom but nicer). Every attendee will be able to practice BEAM modestorming techniques in teams with 2 or 3 other remote attendees using Virtual Breakout Rooms and Miro visual collaboration boards instead of physical whiteboards and Post-its. The class size will be limited to 16 attendees.
Business and IT professionals who want to jointly develop better BI solutions faster.
Business analysts, scrum masters, data modelers/architects, DBAs and application developers new to DW/BI, will benefit from the solid grounding in dimensional modeling.
Experienced DW/BI practitioners will find the course updates their hard-earned industry knowledge with fresh ideas on agile modeling, data warehouse design patterns and business model alignment.
Model BI requirements with stakeholders using business-friendly tools and techniques
Rapidly translate BI data requirements into efficient, flexible analytical database designs
Identify and solve common BI problems using dimensional design patterns
Plan, design and develop BI solutions incrementally with agility
Use BEAM with cloud visual collaboration tools for distributed modelstorming
Agile Dimensional Modeling Fundamentals
BI/DW design requirements, challenges and opportunities: the need for agility
Modeling for measurement: the case for dimensional modeling, star schemas, facts & dimensions
Modelstorming with BI stakeholders: the case for collaborative data modeling
Thinking dimensional using the 7Ws (who, what, when, where, how many, why & how)
Business Event Analysis and Modeling (BEAM✲): an agile approach to dimensional modeling
Data Modelstorming Tools
Data Stories, Themes and BEAM✲ Tables: modeling detailed BI data requirements by example
Timelines: modeling process sequence measurement
Hierarchy Charts: modeling dimensional drill-downs and rollups
Change Stories: capturing historical data requirements (slowly changing dimension rules)
BEAM✲ Matrix: Storyboarding multiple business events planning and estimating for agile BI development
Business Model Canvas: aligning DW/BI design with business model definition, measurement and innovation
BEAM✲ (BI Model) Canvas: a systematic approach to BI & star schema design
Visual Collaboration platforms: modelstorming tools for distributed organisations and remote workers
Test-driven design: agile data profiling for validating and improving requirements models
Data warehouse reuse: identifying, defining and developing conformed dimensions and facts
Balancing ‘just enough design up front’ (JEDUF) and ‘just in time’ (JIT) data modeling
Designing flexible, high performance star schemas: maximising the benefits of surrogate keys. Supporting Slowly Changing Dimensions.
Refactoring star schemas: responding to change, dealing with data debt
Lean DW documentation: Enhanced Star Schemas, Data Warehouse Matrix
How Many: designing facts, measures and KPIs
Fact table types: transactions, periodic snapshots, accumulating snapshots
Fact additivity: additive, semi-additive and non-additive measures
Who & What patterns for modeling customers, employees, products and services
Large populations with rapidly changing dimensional attributes: mini-dimensions & customer facts
Customer segmentation: business to business (B2B), business to consumer (B2C) dimensions
Recursive customer relationships and organisation structures: variable-depth hierarchy maps
Current and historical reporting perspectives: hybrid slowly changing dimensions
Mixed business models: heterogeneous products/services, diverse attribution, ragged hierarchies
Product and service decomposition: component (bill of materials) and product unbundling analysis
When & Where patterns for modeling dates, times and locations
Flexible date handling, ad-hoc date ranges and year-to-date analysis
Modeling time quantitatively and qualitively as dimensions and facts
Multinational BI: national languages reporting, multiple currencies, time zones & national calendars
Understanding journeys and trajectories: modeling event sequences with multiple geographies
Why & How patterns for modeling cause and effect
Causal factors: trigging events, referrals, promotions, weather and exception reason dimensions
Fact specific dimensions: transaction and event status descriptions
Multi-valued dimensions: bridge tables, weighting factors, impact and 'correctly weighted' analysis
Behaviour Tagging: modeling causation and outcome, dimensional overloading, step dimensions
Attendees receive a course eWorkbook, BEAM✲ agile dimensional modeling reference card, downloadable modelstorming templates plus paperback and ebook copies of Agile Data Warehouse Design (DecisionOne Press, 2011) by Lawrence Corr and Jim Stagnitto.
Attendees will need free and accounts plus a webcam and microphone to follow and take part in the classroom discussions and team exercises. We also highly recommend attendees use two monitors and/or an additional large tablet if possible so they can view the virtual classroom and training material simultaneously and work on visual collaboration boards during the team exercises. A laptop and separate large tablet will work too.
Register above to pay online via credit card.
To book and pay via bank transfer or company PO contact or call +44 (0)7971 964794
Tickets for Agile Data Warehouse Design with Lawrence Corr - Live Online 22-24 Sept PDT can be booked here.
|Ticket Information||Ticket Price|
|Small Team||USD 1,785|
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