Webpages<\/strong>: All webpages contain content in the form of text, images, videos, forms and functionalities that are unstructured data. While a webpage is rendered by HTML, the code does not capture the meaning of the content on the page. Businesses and individuals may want to know and analyze the content data as webpages reveal important information about opportunities, customer behavior, competitors and more. When extracting website data, it is important to capture the date and time, as websites are dynamic and may change often. <\/li><\/ol>\n\n\n\nAs we saw from the above examples, because unstructured data touches practically all aspects of business, we are constantly dealing with an increasingly large number of unstructured data sources and volumes. Being equipped to analyze unstructured data and apply the learnings to business is key, as it can yield critical strategic and operational insights that help to make informed decisions. <\/p>\n","protected":false},"excerpt":{"rendered":"
The various kinds of data that are generated through a variety of sources at practically every moment are categorized as structured, unstructured or semi-structured. In our previous post, we saw that unstructured data is usually complex and heterogeneous and cannot be mapped to a predefined structure such as a data table or a relational database. …<\/p>\n","protected":false},"author":2,"featured_media":913,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed"borgata sportsbook review:false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[140,151,32],"tags":[],"class_list":["post-851","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data","category-data-management","category-data-strategy"],"acf":[],"yoast_head":"\n
8 Examples of Unstructured Data - Treehouse Tech Group<\/title>\n \n \n \n \n \n \n \n \n \n \n \n \n\t \n\t \n\t \n \n \n \n \n\t \n\t \n\t \n