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Data cataloging
If you want to truly understand your data and its potential and to ensure information security, you need a data catalog. Your data assets will be given proper meaning and context with AI-enabled solutions and metadata. Creating a modern data catalog means automated discovery, selection and access to information about the source of your data, whether on-premise, hybrid or cloud environments.
Here are your data catalog benefits
You will combine and catalog all your cloud and on-premise data.
You will improve your data management and preparation process, automatically detecting domains, data similarities and data relationships.
You will control the movement of data by tracking it from the system to the column level.
You will measure and optimize the value of your data through data asset analysis.
You will learn about the quality of your data and the relationships between them.
You will improve the quality of your data analysis collaboration and start sharing your data knowledge.
Data automation will make your work easier.
Data statistics will ease your analysis and reporting.
What is the process of building a data catalog?
Accessing metadata and transferring it to the catalog
Identification of tables, columns, files and databases follows.
Profiling the data assets
Profiling the data assets, summarizing the assets for easy viewing like the number of tables, rows, columns, files, and maximum and minimum values.
Creating a business dictionary
Creating a business dictionary or loading an existing one for the entire organization, to better understand the role of data in the business.
Identifying data relationships
Identifying data relationships and links between data from different databases.
Data provenance
Data provenance - building a mechanism for tracking data, from origin to destination.
Data cataloging
Cataloging data for your business in terms of availability and reliability.
