4 days ago · A look into structured and unstructured data, their key differences, definitions, use cases and more.

When combined, structured and unstructured data provide a complete view of data across an enterprise. And, especially relevant in this current moment, unstructured data can also help …

Big data analytics involves massive amounts of data in various formats, including structured, semi-structured and unstructured data. The complexity of this data requires more …

On the structured side, data engineering is a well-organized discipline, but on the unstructured side, it hasn't really taken off because there's a tremendous amount of data.

But just like with structured data, unstructured data has to be governed—classified, assessed for quality, filtered for PII and objectionable content, and deduplicated—so successful strategies …

Along with traditional structured data, big data can include unstructured data, such as free-form text, images and videos. It can also include semi-structured data, such as JSON and XML …

IBM's new capabilities will enable organizations to ingest, govern and retrieve unstructured (and structured) data—and from there, scale accurate, performant generative AI.

Text mining, also known as text data mining, is the process of transforming unstructured text into a structured format to identify meaningful patterns and new insights.

Robust data protection begins by knowing where your sensitive data resides. IBM Guardium Discover and Classify discovers known and unknown sensitive data on premises and in the …

Apr 10, 2025 · We’ll show you how to leverage a local LLM setup with Ollama, featuring Meta’s Llama 3.2 and IBM’s Granite 3.2, to extract key information from support tickets and other text …