Volume 11 - Volume 11
Conversion of Unstructured to Structured: A Solution Using Data Science and NOSQL
Abstract
Exponentially rise of unstructured data is a question to all data scientists today. The graph of
unstructured data is at such height that it consumes most of the storage of all clouds present today.
Analysis through unstructured data is not easy due its high complexity and abstraction computations.
There are different forms of unstructured data found inside web and different operations are done for
their conversion. In this paper we tried to touch most of the unstructured data types and their related
solution for specific conversion using data science analytics. Mongodb, famous for horizontal scaling
is also used here for collection and storage of scalable and high volume data.
Paper Details
PaperID: 2235
Author's Name: Shagufta Praveen, Mazhar Afzal and Aamir Khan
Volume: Volume 11
Issues: Volume 11
Keywords: Unstructured Data, Python, R and Mongodb.
Year: 2021
Month: June
Pages: 1772-1777