Structured And Unstructured Data Flashcards, test questions and answers
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What is Structured And Unstructured Data?
Data can be classified in two main categories: structured and unstructured data. Structured data is the type of data that has been organized in a logical manner so that it can easily be retrieved, analyzed and manipulated by computers. This type of data typically consists of rows and columns within a database, organized in a way that makes sense to humans as well as machines. Common examples of structured data include customer records, financial statements, inventory lists, transaction logs and more.Unstructured data, on the other hand, is any type of information that does not fit neatly into rows or columns within a database. This type of data is usually much more difficult to analyze since it lacks the organization provided by structure. Examples of unstructured data include images, audio files and videos which may contain valuable information but lack an obvious organization system for easy analysis. Additionally social media posts and emails may also fall into this category due to their fluid nature which makes them difficult to categorize or quantify accurately without additional effort from users or programs. Overall both types of data are critical for businesses, governments and organizations throughout the world as each provide unique insights into processes and trends which can be used to make decisions about operations or strategies going forward. Structured data provides reliable numbers with limited variation while unstructured helps paint a bigger picture by providing qualitative evidence which may otherwise go unnoticed with only numbers alone.