With the right approach, data modeling promotes greater cohesion and success in organizationsвЂ™ data strategies.Д«ut what is the right data modeling approach? Data Modeling Best Practices

White Paper: The Regulatory Rationale for Integrating Data Management & Data GovernanceД¬ompanies that want to advance artificial intelligence (AI) initiatives, for instance, wonвЂ™t get very far without quality data and well-defined data models.While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.ДЄs well as keeping the business in compliance with data regulations, data governance вЂ“ and data modeling вЂ“ also drive innovation. In the modern context, data modeling is a function of data governance. NoSQL.вЂќ What is Data Modeling?Дata modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface.Дata models provide visualization, create additional metadata and standardize data design across the enterprise.ДЄs the value of data and the way it is used by organizations has changed over the years, so too has data modeling.

This posts outlines just that, and other key questions related to data modeling such as вЂњSQL vs. As data-driven business becomes increasingly prominent, an understanding of data modeling and data modeling best practices is crucial.

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