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Category: data-governance

  • What Other Industries Can Learn from Healthcare’s Knowledge Graphs

    What Other Industries Can Learn from Healthcare’s Knowledge Graphs How shared meaning, evidence, and standards create durable semantic infrastructure The post What Other Industries Can Learn from Healthcare’s Knowledge Graphs appeared first on Towards Data Science. Steve Hedden Go to original source

  • Why Healthcare Leads in Knowledge Graphs

    Why Healthcare Leads in Knowledge Graphs How science, regulation, collaboration, and public funding shaped the world’s most mature semantic infrastructure The post Why Healthcare Leads in Knowledge Graphs appeared first on Towards Data Science. Steve Hedden Go to original source

  • What Is a Knowledge Graph — and Why It Matters

    What Is a Knowledge Graph — and Why It Matters How structured knowledge became healthcare’s quiet advantage The post What Is a Knowledge Graph — and Why It Matters appeared first on Towards Data Science. Steve Hedden Go to original source

  • How to Use Simple Data Contracts in Python for Data Scientists

    How to Use Simple Data Contracts in Python for Data Scientists Stop your pipelines from breaking on Friday afternoons using simple, open-source validation with Pandera. The post How to Use Simple Data Contracts in Python for Data Scientists appeared first on Towards Data Science. Eirik Berge Go to original source

  • Data Culture Is the Symptom, Not the Solution

    Data Culture Is the Symptom, Not the Solution The hidden reason your data investments fail The post Data Culture Is the Symptom, Not the Solution appeared first on Towards Data Science. Jens Linden Go to original source

  • Integrating DataHub into Jira: A Practical Guide Using DataHub Actions

    Integrating DataHub into Jira: A Practical Guide Using DataHub Actions A walkthrough of how to integrate metadata changes in DataHub into Jira workflows using the DataHub Actions Framework The post Integrating DataHub into Jira: A Practical Guide Using DataHub Actions appeared first on Towards Data Science. Jimin Kang Go to original source

  • Understanding Deduplication Methods: Ways to Preserve the Integrity of Your Data

    Understanding Deduplication Methods: Ways to Preserve the Integrity of Your Data Increasing growth and data complexities have made data deduplication even more relevant Data duplication is still a problem for many organisations. Although data processing and storage systems have developed rapidly along with technological advances, the complexity of the data produced is also increasing. Moreover, with…