Semantics and Big Data Shared by JamesRichard
But this is really a misnomer. The schema exists in the mind of the Data Scientist who is querying the database. Early adopters of big data are finding that when big data contains variety (different formats of data) or is being combined from many different sources, the complexity of these ad hoc schemas exceeds the data scientists ability to manage it, and makes it more difficult to scale to multiple analysts. This is where Semantic Technology comes in. Semantic Technology is about creating machine readable definitions of the meaning of data. Semantic Technology makes it possible to define classes based on the properties of the items in the class. Essentially this means we can create schema as we uncover or discover it. The act of creating schema adds value without creating a precedence to using it.
Why should you attend: Big Data has the potential to become a Big Mess for many companies who allow initiatives to arise without a bit of prior planning.
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Who Will Benefit:Speaker Profile: