Data Catalog

A data catalog is a centralized inventory of data that includes information that describes the data (metadata) and helps organizations efficiently find and understand these assets. Data catalogs offer modern enterprises a way to harness the power of data for analytics and AI initiatives by curating it to raise data quality, classifying it for relevancy, and overall building its trustworthiness.

A data catalog is a centralized inventory of data that includes information that describes the data (metadata) and helps organizations efficiently find and understand these assets. Data catalogs offer modern enterprises a way to harness the power of data for analytics and AI initiatives by curating it to raise data quality, classifying it for relevancy and overall building its trustworthiness.

A machine learning data catalog utilizes advanced algorithms and techniques to automate capabilities including data discovery, metadata extraction, data inventory, data classification, data curation and data lineage.

A data dictionary provides technical documentation, specification and description of data structures in a database including data attributes, fields, data type, length, valid values, default values etc. Whereas, a data catalog serves as a centralized repository of all data assets across the organization with search and management tools that enable data discovery, promote collaboration and support data governance.

A data catalog allows organizations to connect to data sources, classify data types and inventory them; whereas a data marketplace provides the next step by packaging up these data sets into data products for end users to request, review and use for business initiatives by accessing them using a business-friendly portal.