A step above its traditional predecessor is semi-structured data, which arrived in response to the rigidity of table-based formats. Semi-structured data retains some organizational elements of ...

Some data sources lack predictable order, but this doesn’t mean they aren't useful. Some AI scientists specialize in making sense of this unstructured data.

Success with a lakehouse depends on more than just tooling—it requires team readiness, clear processes and thoughtful design.

Quantzig breaks down the distinct differences between structured and unstructured data in its recent article.

CommVault continues to leverage its single software platform to deliver comprehensive archiving capabilities, encompassing unstructured (e.g., file systems); semi-structured (e.g., Microsoft ...

Just like a data lake, a data lakehouse is built to house both structured and unstructured data. This means that businesses that can benefit from working with unstructured data (which is pretty ...

Applying gen AI to solve useful problems at scale requires a paradigm shift in how we think about data management and integration. Krishna Subramanian, COO and co-founder of Komprise, walks through ...

Allowing quality data in can lead to a better understanding of an organization. Read more to improve your data quality for unstructured data.

Lexalytics brings two decades of structured and unstructured data experience and state-of-the-art cloud and on-premise text analytics solutions that go beyond surveys to include social, call ...