Primary Data Modeling Techniques

Data Modeling techniques are used to create a map or blueprint showing how an organization gathers and processes data. Data models help to define the logical structure for an organization’s data. Data Modeling techniques are necessary for businesses wanting to maximize and streamline their ability to analyze and understand data. While developing the model, the […]

Say Hello to Graph Normal Form (GNF)

You thought you knew all normal forms? (And possibly also some abnormal …) Well, think again: There is also “graph normal form (GNF).” The diagram below is a fifth normal form graph concept model, which is just a few steps from GNF, so hang on: Where GNF comes from GNF is based on serious mathematics, […]

Data Modeling Techniques and Best Practices

Data models play an integral role in the development of effective data architecture for modern businesses. They are key to the conceptualization, planning, and building of an integrated data repository that drives advanced analytics and BI.  The proven approach to seamlessly designing and deploying a data warehouse is putting enterprise data modeling at the center of your […]

Data Modeling Tools

Data Modeling tools assist in creating a data model. Data Modeling was initially the process of creating a framework within a database that allowed data to be stored and researched using the data’s relationships. However, the term “Data Modeling” has expanded to include software engineering. A well-designed database (or app) makes the system more efficient, reduces […]

The Rise of the Semantic Layer

Cloud giants like Google and Snowflake, unicorns like dbt Labs, and a host of venture-backed startups are now talking about a critical new layer in the data and analytics stack. Some call it a “metrics layer,” or a “metrics hub” or “headless BI,” but most call it a “semantic layer.” I prefer to call it a “semantic layer” because it best describes a business-friendly interface […]

A Beginner’s Guide to Data Modeling and Analytics

As more and more companies start to use data-related applications to manage their huge assets of data, the concepts of data modeling and analytics are becoming increasingly important. While they typically rely on one each, they are two very distinct concepts.  Companies use data analysis to clean, transform, and model their sets of data, whereas they […]

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