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Get the free Augmented Data Catalog: What is It & Why It is the Future?

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August,1968REPORT ESL P160 M.I.T. PROJECT DSR 70054 Research Grant N5FC.472 (Part)GENERATION AND ENCODING OF THE PROJECT\” I\”\'INT REX AUGMENTED CATALOG DATA BASE Alan R. Benenfeldp, \'.IL I\'
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01
Identify the data sources that you want to include in the augmented data catalog.
02
Categorize and tag the data sources based on their type and purpose.
03
Define data relationships and dependencies between different data sources.
04
Use metadata to provide additional context and information about each data source.
05
Implement a search feature to make it easy for users to find and access the data they need.

Who needs augmented data catalog what?

01
Data analysts who need to quickly access and analyze large volumes of data
02
Data scientists who need to discover relevant data sources for their machine learning models
03
Business users who need to make data-driven decisions based on accurate and up-to-date information
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It is a tool used for organizing and managing metadata in a more automated and efficient way.
Companies and organizations that deal with a large amount of data and need to keep track of metadata.
The augmented data catalog can be filled out manually or using automated tools that extract metadata from the data sources.
The purpose is to improve data management, data discovery, and overall data governance within an organization.
Information such as data source, data description, data owner, data lineage, and data usage must be reported in the augmented data catalog.
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