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Is Facebook Latest NeuralDB An Advancement Over Conventional Database Models

The query processing technique is built on state-of-the-art NLP methods and promises several benefits over conventional databases.
Traditional database systems require preset schemas and can answer queries with well-defined semantics written in structured query language (SQL). To be precise, having structured data becomes a prerequisite. As a result, a vast collection of unstructured data available remains idle and taking any advantage of it remains a challenge. Overcoming the same, Facebook AI has unveiled NeuralDB - enabling machines to search unstructured datasets. The query processing technique is built on state-of-the-art NLP methods and promises several benefits over conventional databases, including: First, the system comes with no predefined schema, thereby eliminating the need to define the scope of the database in advance, and any relevant data can be stored and queried.Secondly, it simplifies the process
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kumar Gandharv
Kumar Gandharv, PGD in English Journalism (IIMC, Delhi), is setting out on a journey as a tech Journalist at AIM. A keen observer of National and IR-related news.
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