Remove Data Classification Remove Data Quality Remove Data Silos
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Enhancing Data Fabric with SQL Asset Type in IBM Knowledge Catalog

IBM Data Science in Practice

In this blog, we explore how the introduction of SQL Asset Type enhances the metadata enrichment process within the IBM Knowledge Catalog , enhancing data governance and consumption. Understanding Data Fabric and IBM Knowledge Catalog A data fabric is an architectural blueprint that helps transcending traditional data silos and complexities.

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AI that’s ready for business starts with data that’s ready for AI

IBM Journey to AI blog

Align your data strategy to a go-forward architecture, with considerations for existing technology investments, governance and autonomous management built in. Look to AI to help automate tasks such as data onboarding, data classification, organization and tagging.

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Data governance 101: Building a strong foundation for your organization

Dataconomy

It involves the creation of rules for collecting, storing, processing, and sharing data to ensure its accuracy, completeness, consistency, and security. Some key concepts related to data governance include: Data quality:  Ensuring that data is accurate, complete, and consistent.

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Data governance 101: Building a strong foundation for your organization

Dataconomy

It involves the creation of rules for collecting, storing, processing, and sharing data to ensure its accuracy, completeness, consistency, and security. Some key concepts related to data governance include: Data quality:  Ensuring that data is accurate, complete, and consistent.

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Building a Data Culture with Snowflake: A Guide for CIOs

phData

Establishing a data culture changes this paradigm. Data pipelines are standardized to ingest data to Snowflake to provide consistency and maintainability. Data transformation introduces data quality rules, such as with dbt or Matillion, to establish trust that data is ready for consumption.