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Snowflake’s Data Classification Lets You Identify and Tag Sensitive Data Directly in Snowsight

Snowflake

We recognize the critical importance of quickly identifying and safeguarding sensitive data objects, and we consistently strive to provide solutions that help achieve these goals — from advancements such as classification and tag-based policies to the intuitive Data Governance UI. Ready to try Data Classification for yourself?

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Snowflake: Tag-based Masking Policies

Cloudyard

Rather than applying a masking policy to each column separately, you can streamline the process by grouping all these sensitive columns under a common tag. This approach is commonly known as Tag-based data masking within the Snowflake platform. However, with the advent of Tags, the process has become significantly more streamline.

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Tag-Based Masking Policy

Cloudyard

Read Time: 4 Minute, 12 Second During this post we will discuss about the Tag-based masking policy in snowflake. A Tag-based masking policy combines the object tagging and dynamic masking features. Therefore, Tag-based masking helps to apply policies uniformly to corresponding tagged columns.

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POS Tagging, Explained

KDnuggets

Learn about the strengths of part-of-speech tagging, and about how a strong POS tagger can contribute to natural language understanding.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

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How to Format Zendesk Tags

Grouparoo

In the process of integrating Grouparoo with Zendesk , I searched the documentation for the right way to format tags, but was unable to find it. In case you are "that person" and just want the answer, here it is: Tags needs to be lowercase and not have any spaces. log ( "tags" , user. log ( "tags" , user.

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What is an Open Table Format? & Why to use one?

Start Data Engineering

Git like branches & tags for your tables 3.4. Why use an Open Table Format (OTF) 3.0. Evolve data and partition schema without reprocessing 3.2. See previous point-in-time table state, aka time travel 3.3. Handle multiple reads & writes concurrently 4. Conclusion 5. Further reading 6.

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