How can you integrate unstructured and semi-structured data into a structured model that can be used for querying, reporting, and analysis? Here are some steps and techniques that can help you ...

This deluge has sparked numerous issues within big data, prompting a need for research and industrial solutions. Among the crucial challenges is the requirement for semi-structured data storage and ...

Abstract: The continuous need to process semi-structured data in the more connected and semantic web requires a retrieval model that can truly reflect the user's intention and capture a user's ...

This repository contains samples to process semi-structured data (XML, CSV and JSON) using Large Language Models (LLMs) on Amazon Bedrock. Semi-structured data is a form of structured data that does ...

This type of data is typically numeric or categorical and adheres to a strict schema, making it predictable and easier to manage compared to unstructured or semi-structured data. Commonly used in ...