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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM22567
Volume:
7 |
6 |
Jun 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Data is the lifeblood of our economy, and data-driven companies turn their data assets into revenue and profits. The first step in any data-driven digital transformation initiative is to manage your data as an enterprise asset: take inventory of it, assess its value, and maximize its use—just like you do with other significant capital and operational investments. Data is diverse and distributed across many different departments, applications, and data warehouses and data lakes (some on-premises, others in the cloud), making it a challenge to know exactly what data you have and where. As data sources proliferate, the data landscape becomes even more complex. Informatica® Enterprise Data Catalog is an AI-powered data catalog that provides a machine learning-based discovery engine to scan and catalog data assets across the enterprise—across multi-cloud and on-premises. Enterprise Data Catalog is powered by the CLAIRE® engine, which provides intelligence by leveraging metadata to deliver recommendations, suggestions, and automation of data management tasks. This enables IT users to be more productive and business users to be full partners in the management and use of data. Informatica Enterprise Data Catalog provides data analysts and IT users with powerful semantic search and dynamic facets to filter search results, detailed data lineage, profiling statistics, data quality scorecards, holistic relationship views, data similarity recommendations, and an integrated business glossary.
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Publication Date
7/5/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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