Remove Data Classification Remove Data Governance Remove Database
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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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The Rising Need for Data Governance in Healthcare

Alation

This data is also a lucrative target for cyber criminals. Healthcare leaders face a quandary: how to use data to support innovation in a way that’s secure and compliant? Data governance in healthcare has emerged as a solution to these challenges. Uncover intelligence from data. Protect data at the source.

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

IBM Journey to AI blog

Multiple data applications and formats make it harder for organizations to access, govern, manage and use all their data for AI effectively. Scaling data and AI with technology, people and processes Enabling data as a differentiator for AI requires a balance of technology, people and processes.

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Building a Data Culture with Snowflake: A Guide for CIOs

phData

The platform can be quickly deployed to start, but you will want to plan for the future so it’s scalable and performant as the data culture matures. A database storage layer is a central repository for the data, while computing is in another layer. This is where Snowflake comes to the rescue!

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An Overview of Security and Compliance Features in Snowflake

phData

Access Controls and User Authentication Access control regulates who can interact with various database objects, such as tables, views, and functions. In Snowflake, securable objects (representing database resources) are controlled through roles. The process computes costs based on data volume.

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How to Migrate from dbt Core to dbt Cloud: phData’s Simplified Approach

phData

These projects should include all functional areas within the data platform including analytics engineering, machine learning , and data science. Data governance and data classification are potential reasons to separate projects in dbt Cloud.