DATAVERSITY Online Training – Professional Education at Your Convenience

Learning Plan Price: $419
Individual Course Price: $99
Learning Plan CEUs: 10 hours

Many organizations have neglected the practices of data modeling as they shifted from traditional data management practices of the past to adopt big data, data lakes, NoSQL technologies, and now AI and machine learning. Past practices focused on relational data and were typically relegated to logical and physical design for developing new databases. Today’s data modeling has a much larger scope in three significant ways:
 

1. Modeling to understand content and structure of existing and acquired data as well as modeling to design new databases 
2. Semantic and conceptual modeling to go along with logical and physical modeling 
3. Modeling for all types of data including key-value, document-oriented, knowledge graphs, property graphs, etc. 

The variety of data (from traditionally structured to unstructured), and the variety of modeling applications (from database design to data products, data architecture, and data interoperability) make data modeling more important than ever before. In the Data Modeling Learning Plan, instructor Dave Wells equips participants with insights into the evolving landscape of data modeling practices and techniques. Participants will gain the skills necessary to apply appropriate techniques for a diverse range of use cases. 

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In the Data Modeling Learning Plan you will: 

• Grasp the expanded scope and complexity of data modeling in modern data management 
• Learn the processes, purposes, and outcomes of contemporary data modeling 
• Acquire foundational knowledge in various data models, their roles, and use cases 
• Comprehend and interpret entity-relationship data models to express their meaning 
• Develop and refine relational data models, applying normalization and abstraction 
• Master physical modeling techniques and reverse engineer models from existing databases 
• Construct conceptual and logical models for multi-dimensional data, ensuring granularity consistency 
• Translate logical models into star schema designs, employing various dimension design techniques 
• Understand key NoSQL data types and their modeling processes for both schema-on-read and schema-on-write 
• Explore semantic data models, developing ontologies, knowledge graphs, and controlled vocabularies through semantic modeling techniques 
• Learn terminology analysis techniques to develop standard and controlled vocabularies 
• Learn how semantic models are applied to implement semantic layers, increase data interoperability, and guide data integration efforts 
• And much more! 

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Each Course Includes: 

• A 65- to 88-minute educational training video
  • The videos for each course are divided into smaller sections for convenient viewing 
• A 19- to 23-question exam 
• “Check for Understanding” quizzes after each course section 
• Self-paced and on-demand e-learning 
• Unlimited course access 
• Downloadable exercises and resources include:
  • Example Company Profile 
  • Example Company Key-Value Files 
  • Example Company Order Document Data 
  • Example Company Recommendations System Requirements  
  • Exercise Solutions 
  • Course Slides in .pdf format

Courses within the Data Modeling Learning Plan: 

1. Data Modeling Fundamentals 
2. Relational Data Modeling 
3. Multi-Dimensional Data Modeling 
4. NoSQL Data Modeling 
5. Semantic Data Modeling 

We offer several bulk licensing options for corporate and group use. 

Contact us for a follow-up discussion!