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.

Unstructured data will outpace structured data at a staggering rate, and the organizations that can best understand and interact with it will give themselves a leg up on the competition.

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With no unifying structure, data lakes of unstructured data become impossible to search and discover the right data for the need at hand. Meanwhile, the cost of storing petabytes quickly adds up.

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.

The concept is straightforward for structured data but increasingly less so with unstructured data – not to gloss over the fact that it's still a challenging problem for structured data. For example, ...

Collibra, the leader in unified governance for data and AI, today announced the acquisition of Deasy Labs, a pioneering startup specializing in automated discovery and enrichment of unstructured data.

CISOs often focus on protecting structured data such as credit cards, passwords and personal health information. But a new report from IBM reminds infosec pros that unstructured data — ranging ...

To help solve those challenges AWS announced new services for structured data retrieval support, ETL (extract, transform and load) for unstructured data, data automation and knowledge base support.