From the course: Rust for Data Engineering
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Load a DataFrame with sensitive data - Rust Tutorial
From the course: Rust for Data Engineering
Load a DataFrame with sensitive data
- [Instructor] Load a dataframe with sensitive information. There are a few things to pay attention to. First, what is the data classification methodology used? One of the most common ways to do this is to have different labels. For example, a sensitivity label that would apply to certain information, a retention label that would basically say how long this data should be around. Also labeling it sensitive information in general and then there's different types as well, such as trainable classifiers. So could you actually go through and actually detect certain types of data and automatically protect it and classify it? Once you have these controls set up, then you can go into different aspects like the storage type, the encryption, access controls, data destruction, data loss, logging, who's been accessing things, tracking where those resources have moved. Finally, once you've done all that, you're ready to securely…
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What is Colab?5m 48s
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(Locked)
Using Bard to enhance notebook development6m 7s
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Exploring life expectancy in a notebook6m 53s
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Load a DataFrame with sensitive data1m 36s
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Using MLFlow with Databricks Notebooks5m 26s
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End to End ML with MLFlow and Databricks4m 3s
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Exploring global life expectancy with Polars4m 38s
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