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An enterprise data catalog does all that a library inventory system does – namely streamlining datadiscovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.
Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving. Monitor and identify data quality issues closer to the source to mitigate the potential impact on downstream processes or workloads.
Data Transparency Data Transparency is the pillar that ensures data is accessible and understandable to all stakeholders within an organization. This involves creating data dictionaries, documentation, and metadata. It provides clear insights into the data’s structure, meaning, and usage.
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