[amp_mcq option1=”Large Data” option2=”Big Data” option3=”Dark Data” option4=”None of the mentioned” correct=”option3″]<\/p>\n
The correct answer is: C. Dark Data<\/strong><\/p>\n Dark data is the information assets organizations collect but don’t use. It can be structured or unstructured, and it can be found in any data repository, including data warehouses, data lakes, and operational databases. Dark data can be valuable, but it’s often hidden from view and difficult to access.<\/p>\n The figure shows a large amount of data that is not being used. This data is dark data, and it can be valuable to organizations if it can be accessed and analyzed.<\/p>\n Large data is a term used to describe the large volume of data that is generated by organizations on a daily basis. This data can be structured or unstructured, and it can be found in any data repository, including data warehouses, data lakes, and operational databases. Large data can be valuable, but it can be difficult to manage and analyze.<\/p>\n Big data is a term used to describe the large volume of data that is generated by organizations on a daily basis. This data can be structured or unstructured, and it can be found in any data repository, including data warehouses, data lakes, and operational databases. Big data can be valuable, but it can be difficult to manage, analyze, and store.<\/p>\n None of the mentioned is not the correct answer.<\/p>\n","protected":false},"excerpt":{"rendered":" [amp_mcq option1=”Large Data” option2=”Big Data” option3=”Dark Data” option4=”None of the mentioned” correct=”option3″]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[734],"tags":[],"class_list":["post-51146","post","type-post","status-publish","format-standard","hentry","category-introduction-to-data-science","no-featured-image-padding"],"yoast_head":"\n