WEEK 5: BIG DATA Since the 90s it has been recognized that there were certain ki
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WEEK 5: BIG DATA
Since the 90s it has been recognized that there were certain kinds of collections of data that could not be analyzed by relational database technology. These are typically collections of unstructured data, e.g., data that does not fit nicely into rows and columns. Examples of this would be the data that social media systems, like Facebook, collect.
These kinds of data collections have no simple structure. Imagine that you wanted to analyze and bring useful information out of the posts and the comments on a particular topic. While you may be able to analyze the topics, the immense pile of data related to it is unstructured comments on the topic. People complain that Facebook, Twitter, etc., do not do a good job of finding and deleting certain types of topics and comments that cause particular types of damage, e.g., incorrect information on COVID-19. (This is very hard to do and people still have to do a lot of it.)
To help with this analysis, a relatively new class of database products have emerged. They go by the general name of “NoSQL,” but would more appropriately be called “not only SQL.”
For this discussion, do some research on the internet. Search on terms like “non-relational databases,” Also, there is an extensive description in Wikipedia under big data that may prove of value to you.