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docsrc/source/pages/data_catalog/collaborative_data_profiling.rst
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======== | ||
Data quality Profiling with a Collaborative experience | ||
======== | ||
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`YData Fabric <https://ydata.ai/products/fabric>`_ is a Data-Centric AI development platform. | ||
YData Fabric provides all capabilities of ydata-profiling in a hosted environment combined with a guided UI experience. | ||
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`Fabric's Data Catalog <https://ydata.ai/products/data_catalog>`_ provides a comprehensive and powerful tool designed to enable data professionals, | ||
including data scientists and data engineers, to manage and understand data within an organization. | ||
The Data Catalog act as a searchable repository, that captures the schema and metadata, while providing | ||
a unified view of all datasets. | ||
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Profiling in a Data Catalog | ||
--------------------------- | ||
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1. Built-in connectors | ||
====================== | ||
Fabric's Data Catalog experience, provides pre-configured interfaces for a variety of data data sources. | ||
The built-in connectors simplify and expedite the data integration, while reducing developing time and | ||
enhancing data availability ensuring reliable and consistent data exchange. | ||
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2. Metadata management | ||
====================== | ||
The Data Catalog captures and stores automatically the datasets metadata, providing essential information about | ||
your data types, source, last time of update, relationships among other characteristics, | ||
such as the presence of potential Personally identifiable Information (PII). | ||
It supports automated metadata ingestion from a variety of data sources, which allows to keep the catalog always up-to-date. | ||
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3. Data profiling and relationships | ||
=================== | ||
An interactive experience that allows to drill-down in a comprehensive data profiling and relationship analysis, providing deep insights into | ||
data structure, distributions and interactions for improved data preparation. | ||
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4. Data quality indexes | ||
=================== | ||
Access and navigate indicators and data quality statistics, such as completeness, uniqueness and consistency. | ||
This feature ensures that your teams are working with trusted, complete and reliable data while developing data initiatives. | ||
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5. Collaborative | ||
=================== | ||
The Data Catalog enables a collaborative experience through dataset descriptions and tags for ease of search. | ||
This fosters collaboration among team members, sharing domain knowledge and experience, and leading to better, more informed decisions. | ||
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6. Security and Compliance | ||
=================== | ||
Through built-in connectors and flexible infrastructure enforce data access control per users and per project. YData Fabric Data Catalog helps in maintinaing | ||
regulatory compliance by identifying any sensitive data. | ||
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Try today the Catalog experience in with `Fabric Community version <https://ydata.ai/ydata-fabric-free-trial>`_! |