From the course: Cloud Data, Platform, and Applications Security by Pearson
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Data discovery
From the course: Cloud Data, Platform, and Applications Security by Pearson
Data discovery
A big part of data discovery is knowing what types of data you might have. What are you going to discover? On the exam, you want to know the different types of data you're going to discover. So we have structured data. Structured data uses a predefined data model or a schema. So it's usually directly analyzed based on some tabular format like you'd see in a spreadsheet. There's a relationship between rows and columns, what we call tuples. So think of data stored in Excel spreadsheets, CSV files, relational databases and data warehousing. That's structured data. Unstructured data is information that doesn't have a predefined data model. It's not organized in a predefined way. We often think of this as content or blob data. For example, at Azure, it's actually called Azure Blob. Audio files, video files, graphic files, archived PDF files, for example. A new term on the updated exam is semi-structured. data doesn't conform to the formal structure of data models, like SQL for example, or…
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Learning objectives29s
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Concepts of cloud data security6m 12s
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Data obfuscation4m 4s
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Information rights management3m 10s
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Keys, secrets, and certificate management3m 17s
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Data discovery4m 22s
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Data classification and policy5m 22s
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Auditability, traceability, and accountability4m 43s
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