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Why Your Master Data Management Needs Data Governance

Precisely

Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises. However, to get optimal value from your organization’s data, you need to apply the discipline of data governance to your MDM. How can they contribute their expertise?

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The Role of the Data Catalog in Data Security

Alation

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

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How To Use Dynamic Data Masking for Virtual Columns in Snowflake External Tables

phData

When you query the customer table, both the VALUE column and its derived columns will implement the masking policy before showing the data. Figure-6 This approach works well when you have a small number of JSON entities and your data governance needs are relatively simple. Snowflake Data Governance: What is Object Tagging?

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Living in a data sovereign world

IBM Journey to AI blog

Key considerations to ensure data sovereignty are: Leverage cloud provider capabilities by fine-tuning the physical location of each dataset to meet the geo-location of the data. It is important to consider data access policy definition and encryption which will enable users with permissions and rights as per the separation of duties.

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What is Data Classification? Guidelines, Types, & Examples

Alation

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Manual Data Classification.

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What Is Data Intelligence?

Alation

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.