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And, in an app-driven world, more and more of you are turning to the NoSQL database. It’s more ... and also can handle large volumes of structured, semi-structured and unstructured data.
NoSQL. It is about the processing of semi-structured data, transforming data streams into generic formats (triplets, JSON) to be processed by modern (light-weight) DB systems (e.g. document-oriented ...
Data that can be immediately identified within an electronic file such as a relational database that is structured in rows (records) and columns (fields). For example, to retrieve the name of a ...
database software fundamentals, and how to use Structured Query Language (SQL) to work with databases. You will develop an overview of future trends in databases, including non-relational databases ...
NoSQL. It is about the processing of semi-structured data, transforming data streams into generic formats (triplets, JSON) to be processed by modern (light-weight) DB systems (e.g. document-oriented ...
Structured data is often found in databases and spreadsheets ... predictable and easier to manage compared to unstructured or semi-structured data. Commonly used in industries like finance ...
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