Continuing the data catalog topic, its implications for business and data users, today we will look at modern enterprise data catalog environment characteristics.

The modern data catalog is notable for its advanced features. The application stack for enterprise data analysis mainly simplifies the process of working with data and includes the following features:

• management of data asset structure metadata that includes data profiling for assessing the data asset structure, structure of existing semantic, logical and physical data models, table layout details, data elements, data size and type, etc.
• management of data asset object metadata that includes the data source, owner, refresh rate, and other object elements;
• business metadata of data assets includes business glossaries, semantic graphs, classifications, logical namespaces;
• data intelligence utilities allow to define data asset, perform automatic discovery, identify and inventory dispersed and heterogeneous data, classify, document data lineage, generate an intelligent search index;
• the data portal provides visibility to catalog information and also includes an intelligent index;
• data management support including data quality management, data certification and tagging, data protection policy, access control.

The data catalog central task is to solve data source discovery problems and help business to extract full value from their information assets. With the help of data catalog, it is possible for a user of any level to discover, recognize, and use data sources. Qlik offers its enterprise data management solution «Qlik Data Catalog» that simplifies and accelerates the process of managing, cataloging, preparing and accurate data delivering to business users. DataLabs is a Qlik Certified Partner and is committed to meet your data management challenges. You can request here.

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