Learn about the challenges and solutions for storing unstructured and semi-structured data, and the tools and frameworks that can help you.

Abstract: By analyzing the characteristics of Semi-structured data along with the actual Book Return Data (BokeDataInfo.xml) in the Auto department chain sales as an example, DOM objects extract, ...

Report of a project concerning database construction, management and manipulation that uses various .xml and .csv files from open sources with semi-structured and unstructured data. The analysis is ...

Unstructured data holds to no predefined data model and files and objects ... Some forms of semi-structured data have been around for some time, such as CSV and XML. A bit later came JSON.

You can store all types of structured, semi-structure, and unstructured data within the Hadoop Distributed File ... Hadoop cluster in a human readable format like JSON or XML, or as a CSV file, but ...

When a conversation turns to analytics or big data, the terms structured, semi-structured and unstructured ... video and audio files, text files, social media content, satellite imagery ...

The goal of this project is to describe students of El Oued University using an XML document. Each student has specific attributes and elements, and we will define the structure using XML, DTD, and ...

XML is one example ... In this solution the semi-structured data might be stored simply as image files in the file system and the structured metadata would be stored in a relational database ...