Unstructured Data to Structured Data : A Study

The rapid growth of the internet has an immense impact on the information generated and shared by many organizations. It is around 90 percent of data that is of unstructured format, which the organizations process daily. Social media posts, IoT sensor data, satellite imagery, e-mails, etc., are the primary sources of the unstructured data. Accessing the information from unstructured data is a bit complicated because it doesn’t have a pre-defined data model and also cannot be maintained in any form of a database. Structured data allows easy manipulation, querying and extracting crucial information from the data. As data is the life of the business, there is a necessity to manage and analyze the unstructured data for better insights and to reduce the storage complexity required for these large volumes of data. This can be accomplished by converting unstructured data to structured format. This paper presents various techniques to convert unstructured data into structured data.