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Profiling Databases | ||
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``ydata-profiling`` provides overall metrics and statistics for your datasets. However, data is often not stored in a single table but rather across multiple tables in a database. | ||
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Databases consist of schemas, each composed of several tables. Being able to profile the relationships between tables, such as primary keys and foreign keys relationships, | ||
while being able to combine it with detailed statistics and metrics per table is crucial to ensure data integrity , effective data management and avoid anomalies. | ||
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`YData Fabric Data Catalog <https://ydata.ai/products/data_catalog>`_ delivers detailed databases data quality insights and profiling metrics combined with built-in connectors | ||
for easy integration with existing data architectures. With a Fabric Data Catalog, you can: | ||
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* Connect to existing data architecture through built-in data connectors | ||
* Manage data connections and dataset ownership | ||
* Organize data on a project basis | ||
* Analyze the schema and profile referential integrity | ||
* View detailed statistics and plots per table | ||
* Experience an interactive interface that supports tables with hundreds of columns through distributed computing | ||
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`Learn more about the benefits of adopting Data Catalogs. <https://ydata.ai/resources/unlocking-the-power-of-a-data-catalog-for-your-business>`_. |