Semi-structured data is data that is not captured or formatted by traditional methods. Semi-structured data does not follow the format of a tabular data model or relational databases because it does not have a fixed schema. However, the data is not completely raw or unstructured and has some structural elements, such as labels and organizational superdata, which will facilitate its analysis. The advantages of semi-structured data are that they are more flexible and simpler to scale compared to structured data.
Agile Project Management is a way of working that allows you to deliver a project throughout its entire lifecycle.
This process, known as database shrinking, is a form of compression. It is intended to reduce the overall space without interfering with the data.
Latent Dirichlet Allocation (LDA) is a topic modeling technique that allows the discovery of hidden topic structures on large amounts of text data.
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