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Data Modeling Fundamentals
Data Modeling Fundamentals - online training course
 
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4-hour 45-min Online Course by Dave Wells
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Our Price: $475.00
Sale Price: $400.00


Product Code: DM-07-A


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Data modeling is a set of techniques that are fundamental to the processes of understanding, designing, implementing, and curating data. Despite the many declarations that “data modeling is dead” it continues to be an essential part of effective data management. Data Modeling is not dead, but the practices of data modeling are different today than in the past.

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Once the domain of database designers and developers, data modeling is now an important skill for data engineers, data scientists, data analysts, application developers, and data curators. Modeling for traditionally structured data is now extended to encompass the variety of big data and NoSQL data types. Semantic data modeling simplifies data integration and is essential to achieve data interoperability. In today’s data modeling practices, long-standing modeling techniques are combined with new and different techniques to adapt to variety in data and data management use cases.

This 4 hours 45 minutes course teaches practical data modeling skills ranging from traditional relational modeling to key-value, document, graph, and semantic data modeling.

You will learn:
  • What data modeling is and why it is important for modern data management
  • Data modeling use cases and the roles of data modeling in data management
  • Top-down data modeling for data requirements analysis and database design
  • Data model reverse engineering to explore, understand, and describe existing data
  • Entity-Relationship data modeling techniques
  • Multi-dimensional modeling techniques
  • NoSQL data modeling techniques including key-value, document, and graph data modeling
  • Semantic data modeling techniques including modeling of ontologies and taxonomies
This course is geared towards:
  • Data engineers responsible to design, build, and support databases of all types
  • Data engineers responsible to design, build, and support data pipelines
  • Data analysts, data scientists, and data engineers who need to investigate, understand, and document data
  • Data architects responsible for data standards, data interoperability, and data integration
  • Data warehouse and data lake architects, designers, developers, and implementers
  • Master data management (MDM) architects, designers, developers, and implementers
  • Application systems architects, designers, developers, and implementers
  • Anyone with responsibility for or interest in data modeling


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