The demand for data continues to grow from inside and outside every organization and from machines now, too. However, having a surfeit of data is not enough. Organizations must solve the complex ...

A semantic layer is a way to represent data so that it can be easily understood by business users, making it easier for them to interpret and use it directly, without a dependence on data engineering ...

The rise of cloud computing, data mesh, and especially data lakehouses all reflect the massive efforts to adopt architectures that will keep pace with the exponential of data constantly growing. But ...

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Semantic layers stand out as a key approach to solving business problems for organizations grappling with the complexities of managing and understanding the meaning of their data. A semantic layer, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Philadelphia-based dbt Labs announced today the next version of its open ...

Semantic layers can be vital to minimising hallucinations and ensuring greater accuracy of answers in structured data sources ...

While many companies are interested in adopting a data fabric architecture, organizations don't realize that the essence of a true data fabric leverages embedded AI with a unified semantic layer for ...

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those ...

A growing number of businesses are embracing data models -- abstract models that organize elements of data and standardize how they relate to one another. But as the data analytics and AI boom drives ...