Abstract: This study introduces the idea of Big Data. First of all, a definition and the highlights of Big Data are given. Furthermore, the distinctive strides for Big Data handling and the principle issues experienced in Big Data administration are depicted. Next, a general outline of architecture for taking care of it is described. At that point, the issue of consolidating Big Data architecture in an officially existing data framework is talked about. At last this review handles semantics (reasoning, coreference determination, element connecting, data extraction, solidification, philosophy arrangement) in the Big Data context.
Keywords: Big Data, Hadoop, Ontology alignment, Extraction of Information.
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DOI:
10.17148/IJARCCE.2020.91106
