From the course: Learning Data Science
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Keeping things simple with structured data
From the course: Learning Data Science
Keeping things simple with structured data
- When you're on a data science team, you'll often deal with many different types of data. These different types will be a key factor in determining how you want to store your data. Technologies like NoSQL will give you a lot of flexibility to store different data types. Relational databases give up some flexibility, but they'll often be easier to work with. When you think about how you want to store your data, you want to understand the different data types. The same is true of any storage. Certain databases are optimized for certain types of data. Just like you wouldn't want to store a sandwich in a water jug, you wouldn't want to set up a relational database to hold the wrong type of data. There are three types of data that your team should think about. There's structured, semi-structured, and unstructured data. The first type of data is usually the simplest. It's the data that follows a specific format in a specific order. A good example of structured data is your typical office…
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