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DESCRIPTION:Click for Latest Location Information: http://edw2023fall.datav
 ersity.net/sessionPop.cfm?confid=157&proposalid=14661\nData Modeling is the
  ability to represent business knowledge in a documented structure so that 
 data can be stored and utilized for a purpose. A solid foundation of Data M
 odeling knowledge is essential for understanding how to manage data in the 
 enterprise, as today’s data is more challenging than ever to model, i
 ntegrate, and use consistently for greater value.\n\nThis course provides a
  framework for Data Modeling context and teaches essential techniques for p
 ractical use. Participants will gain a foundation of Data Modeling and its 
 relationship to Business Modeling in order to apply the proper techniques c
 orrectly and with confidence for different Business Analytics scenarios.&nb
 sp;Attendees will learn the foundations, techniques, processes, and practic
 es for:\n\n	Data Modeling Concepts and Frameworks\n
 Logical Data Modeling for Business Discovery and Analytics\n
 Physical Implementation Modeling for Enterprise Data Warehousing and Data H
 ubs\n
 Physical Implementation Modeling for OLAP Data Marts\n\nFull course syllabu
 s:\n\n	Data Modeling Concepts and Framework\n	\n		Background and Approach\n
 Systems and Data Characteristics\n		Data Modeling Frameworks\n
 Business Conceptual Modeling Techniques\n	\n	\n
 Modern Data Artifacts and Formats\n	Example and Exercises\n
 Logical Data Modeling for Business Discovery and Analytics\n	\n
 Entities and Relationship Modeling\n
 ER Notation, Cardinality, and Subtypes\n
 Normalization Technique and Constraints\n
 Modeling State/Status and Process\n		Dimensional Business Analytics\n
 Questions, Measures, Metrics, Qualifiers, Hierarchies\n
 Knowledge Graph Data Models\n		Example and Exercises\n	\n	\n
 Physical Implementation Modeling for EDW and Data Hubs\n	\n
 Physical Modeling for EDW/EDH Purpose\n
 Managing Volatility and Historical Data\n
 Surrogate keys and naming conventions\n		Metadata Framework\n
 Data Vault Technique\n		Example and Exercises\n	\n	\n
 Physical Implementation Modeling for OLAP Data Marts\n	\n
 Building Star Schemas from Logical\n		Slowly Changing Dimension Types\n
 Managing Date and Time Dimensions\n		Managing Conformed Dimensions\n
 Understanding ROLAP, MOLAP, HOLAP\n		Example and Exercises\n	\n	\n\n
DTSTART:20230921T083000
SUMMARY:S4: Essential Data Modeling for Practical Use
DTEND:20230921T155959
LOCATION: See Description
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