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SciBite / Knowledge Hub / Resources / Transforming big data [Use Case]

Transforming big data [Use Case]
Tractor working on the tulip field

With the rise in machine learning and artificial intelligence approaches to big data, systems that can integrate into the complex ecosystem typically found within large enterprises are increasingly important.

Hadoop systems can hold billions of data objects but suffer from the common problem that such objects can be hard or organise due to a lack of descriptive meta-data. SciBite can improve the discoverability of this vast resource by unlocking the knowledge held in unstructured text to power next-generation analytics and insight.

Here we describe how the combination of Hadoop and SciBite brings significant value to large-scale processing projects.

To learn more, download the full use case.
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