Lagring og lagringssystem
Enterprise Data Warehouse (EDW)
Du har valgt: Oslo


2 dager 17 000 kr
Facilitated Workshop Training [+]
About Ensemble Logical Modeling 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 The ELM workshop is an interactive, facilitated, business-driven design session. It depends on the active participation of all attending business representatives. This is not a technical session; no computers, only people, white boards & Post-it notes involved. 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 The ELM workshop is a highly interactive session that depends on active participation. Allow for small groups to form and collaborate, allow for debate and discussion, allow time to contemplate, and ask business representatives to present their models. Day 1 / AM Business Data Modeling, Meaning & Semantics. Conceptual, Logical & Ensemble Modeling. Data Warehousing and the Enterprise Integration Initiatives. Business-Driven Modeling. Agility, Historization, Semantic Gap & Data Architecture. Fundamentals of Unified Decomposition, Ensemble & ELM. Core Business Concepts (CBC) & Natural Business Relationships (NBR). ELM Workshop agenda, tools & artifacts. Day 1 / PM ELM Modeling Workshop Case 1 Exercise. Complete first ELM model. Present and Discuss each Group ELM Model. Details on CBC Worksheets and NBR. Facilitator, Scribe & Note Taker roles. ELM Modeling Workshop Case 2 Exercise. Complete ELM model & first CBC Worksheets with NBR. Present and Discuss each Group ELM Model and CBC Worksheets. Day 2 / AM Ensemble Modeling of Unique, Specific, Natural Business Relationships (Unit of Work). Common NBR Design Patterns. Keyed-Instance Considerations. Abstraction/Generalization. Classifications/Categorizations. Unique Identities. Moving to Ensemble Modeling Patterns (EMP). Individual Exercises. Day 2 / PM Final ELM Modeling Workshop Case / Putting it all Together. Complete Final ELM. Present and Discuss each Group ELM Model, CBC Worksheets, NBR, and Attribution. Discuss Roles: Facilitator, Scribe & Note Taker. Final Topics and Q&A. OM CGI CGI Group Inc. ble grunnlagt i 1976 og er verdens femte største uavhengige leverandør av tjenester innen IT- og forretningsprosesser. Med 74 000 medarbeidere over hele verden, leverer CGI en portefølje av ende-til-ende løsninger innen avanserte IT- og forretningskonsulenttjenester, systemintegrasjon og utsetting av IT- og forretningsprosesser. CGIs modell med kundenærhet, et globalt leveransenettverk og egne løsninger bidrar til at kundene hurtigere oppnår resultater og bidrar til deres digitale transformasjon. CGI har en samlet årlig omsetning på over 60 milliarder NOK. CGI-aksjene er notert på TSX (GIB.A) og NYSE (GIB). Hjemmeside: [-]
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3 dager 27 500 kr
This is the primary Genesee Academy seminar course and includes the Data Vault data modeling approach and related DW architecture. This course will cover the core concept... [+]
Hans Patrik Hultgren is a Data Warehousing and Business Intelligence educator, author, trainer, and advisor.  Hans is currently working on Business Intelligence and Enterprise Data Warehousing (EDW) with a focus on modeling and architecture including Ensemble and Data Vault modeling.  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 Hans published the book Modeling the Agile Data Warehouse with Data Vault which is available on Amazon websites. Specialties: EDW, Data Modeling, DWBI Architecture, Ensemble Modeling, Data Vault Modeling, Speaking, Advising, Data Vault, Agile Data Warehousing, Education, Training, e-Learning, Entrepreneurship. Goal: This is the primary Genesee Academy seminar course and includes the Data Vault data modeling approach and related DW architecture. This course will cover the core concepts of the Data Vault including the Hubs, Links, Satellites, modeling of the business keys, table key structures, detailed attributes, modeling rules, and managing relationships. The course allows students to apply the data vault approach to in-classroom labs completed in small groups. Advanced and exception modeling constructs are presented along with the best practices for applying them.   On the second day, real life examples are presented and discussed. The fit of the Data Vault in the overall EDW architecture will be covered including discussions on the staging area, the data warehouse layer, the business data vault, data marts, and the role of dimensional modeling. The class is delivered using a blended approach combining both lecture style in the classroom (2 days) with online on-demand training (2 weeks).Target audience: The primary audience includes data designers and modelers, data architects, data warehouse architects and data warehouse ETL resources but also includes business intelligence and data warehousing practitioners such as BI analysts and program managers. All materials, exercises, labs, online lessons, and the exam itself are included in this training. The certification exam is administrated in the afternoon of the last day.Description: Hans Hultgren's new book "Modeling the Agile Data Warehouse with Data Vault" is included in the CDVDM course price. [-]
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