You should definitely know this when working with Structured and Unstructured data...

In most cases, all the data we share and consume is divided into structured and unstructured. What’s the difference between them?
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▶ TIME CODES:
00:00 What is structured data?
01:20 Pros and cons of structured data
02:15 Tools to manage structured data
02:48 What is unstructured data?
03:15 Pros and cons of unstructured data
04:12 Tools to manage unstructured data
​04:55 Contact Jelvix

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▶ About this video:
Structured data is a type of quantitative data that match particular criteria. It can be easily organized, sorted, and analyzed.

Unstructured data, which is typically categorized as qualitative data, cannot be processed and analyzed via conventional data tools and methods.

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Disclaimer:
The content in this video is based on company's experience. The primary purpose of this video is to educate and inform. Note that Jelvix is not responsible for the results of advices that were taken without considering individual situation and goals of your business. Jelvix strongly recommends to perform your own independent research before making any critical decisions. If you have a complaint about something or find your content is being used incorrectly, please contact Jelvix.
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Тэги:

#unstructured_data #structured_data #big_data #types_of_data #data #deep_learning #machine_learning #big_data_analytics #structured_vs_unstructured_data #difference_between_structured_and_unstructured_data #data_science #data_analytics #big_data_types #structured_data_unstructured_data #what_is_structured_data #what_is_unstructured_data #structured_and_unstructured_data_sources #examples_of_structured_data #example_of_unstructured_data #structured_data_vs_unstructured_data

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