• Indhumathi R

In present situation, the developing information are normally unstructured. For this situation to deal with the wide scope of information is troublesome. The proposed paper is to process the unstructured content information viably in Hadoop map lessen utilizing java. Apache Hadoop is an open source stage and it broadly utilizes Map Reduce structure. Guide Reduce is mainstream and powerful to process the unstructured information in parallel way. There are two phases in guide decrease, to be specific change and store. Here the information parts into little squares and laborer hub process singular squares in parallel. The proposed methodology for coordinating procedure in web bunch databases from various database servers can be effectively incorporated and convey exceptionally dimensional Map reducer asset the board and reuse is a long way from being full grown. In any case, Map reducer is additionally a broadly open research territory, and there is still much opportunity to get better on the strategy. This exploration instrument incorporates 1) improving the proposed advancement approach by making utilization of and contrasting distinctive developmental calculations, 2) applying the proposed way to deal with help more applications, and 3) reaching out to the circumstance with various Map reducer frameworks or administrations.

Unstructured, Structured, Hadoop Map Reduce.

"AN EFFICIENT APPROACH OF UNSTRUCTURED DATA USING IMIL TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.97-100, April-2019, Available :http://www.jetir.org/papers/JETIRBI06018.pdf

"AN EFFICIENT APPROACH OF UNSTRUCTURED DATA USING IMIL TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp97-100, April-2019, Available at : http://www.jetir.org/papers/JETIRBI06018.pdf