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 ...

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data.

Unlike structured data, which fits neatly into databases, unstructured data lacks a predefined format, making it harder to store, search and secure. The awkward challenge is that it often contains ...

Explore how organizations can tackle unstructured data challenges in AI, governance, cost control and cyber resiliency strategies.

Brooklyn-based Structify emerges from stealth with $4.1 million in seed funding to transform how businesses prepare data for AI, promising to save data scientists from the task that consumes 80% of ...

The exploding volume of digital data created each year is expected to reach 291 zettabytes by 2027, according to market researcher IDC, with much of that unstructured and semi-structured data.

[Related: The Coolest Database System Companies Of The 2024 Big Data 100] “The strategic acquisition of DataStax brings cutting-edge capabilities in managing unstructured and semi-structured ...

Indico Data, a Guidewire PartnerConnect Technology partner, announced that Indico Data's new Ready for Guidewire validated ...

Observability program maturity is uneven across data quality, data pipelines, and AI/ML models, as unstructured data adoption grows BURLINGTON, Mass., April 29, 2025 /PRNewswire/ -- Precisely ...

Unstructured data refers to information that does not have a predefined data model or organized format, making it more challenging to store, process, and analyze compared to structured data.