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Book Overview & Buying
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Table Of Contents
Google Cloud Digital Leader Certification Guide
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When working with cloud systems and data, it’s important to have a deep understanding of what data is available, how it is stored, which systems can access it, and how the data is being used. By having a holistic understanding of a company’s data ecosystem, team members are able to identify where it makes sense to re-architect systems or consolidate datasets based on business needs.
There are a few underlying concepts that need to be covered to ensure you understand what type of data makes up a dataset and what variables to consider when designing the architecture of a system that may try to derive value from the data through analysis or predictions. Let’s start by exploring the different types of data—structured, semi-structured, and unstructured—while also defining some of the considerations when making decisions about how to use, store, transform, and serve it.
Structured data is data that is organized in a schema...
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