a)Structured Data
A data is called structured data if it is organized in a highly mechanized and manageable way. Structured data is ready for seamless integration into a database or well structured file format such as XML.
A data is called structured data if it is organized in a highly mechanized and manageable way. Structured data is ready for seamless integration into a database or well structured file format such as XML.
b)Unstructured Data
Unstructured data is raw and unorganized. Analyzing unstructured data is be cumbersome and costly. Email is a good example of unstructured data although it is indexed by date, time, sender, recipient, and subject, but the body of an email remains unstructured. Other examples of unstructured data include books, documents and social media posts.
Several tools such as Oracle Endeca Information Discovery are breaking down walls between structured and unstructured data so that they can be analyzed parallel to each other and hence maximize the analytical power of an organization.
Unstructured data is raw and unorganized. Analyzing unstructured data is be cumbersome and costly. Email is a good example of unstructured data although it is indexed by date, time, sender, recipient, and subject, but the body of an email remains unstructured. Other examples of unstructured data include books, documents and social media posts.
Several tools such as Oracle Endeca Information Discovery are breaking down walls between structured and unstructured data so that they can be analyzed parallel to each other and hence maximize the analytical power of an organization.