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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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Using Snowflake Data as an Insurance Company

phData

Insurance companies often face challenges with data silos and inconsistencies among their legacy systems. To address these issues, they need a centralized and integrated data platform that serves as a single source of truth, preferably with strong data governance capabilities.

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Data governance 101: Building a strong foundation for your organization

Dataconomy

Here are some reasons why having a data governance strategy is crucial: Alignment:  A data governance strategy helps align data management activities with organizational goals and objectives, ensuring that data supports business outcomes.

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Data governance 101: Building a strong foundation for your organization

Dataconomy

Here are some reasons why having a data governance strategy is crucial: Alignment:  A data governance strategy helps align data management activities with organizational goals and objectives, ensuring that data supports business outcomes.

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Building a Data Culture with Snowflake: A Guide for CIOs

phData

Establishing a Foundation for Data Culture Data governance is going to be the foundation of every data culture. There are many reasons to implement data governance policies, such as auditing and compliance, data protection, monitoring, quality checks, and data classification.