INTERNATIONAL JOURNAL OF INNOVATIONS IN APPLIED SCIENCES & ENGINEERING

International Peer Reviewed (Refereed), Open Access Research Journal

(By Aryavart International University, India)

E-ISSN:2454-9258 | P-ISSN:2454-809X | Estd Year: 2015

Impact Factor(2020): 4.805 | Impact Factor(2021): 5.246

ABSTRACT


AN ANALYTIC STUDY OF PERFORMANCE TUNED SQOOP TO MONITOR THE EFFICACIOUS TRANSFORM BETWEEN SQL AND NOSQL

Aayush Goel

Vol. 4, Jan-Dec 2018

Page Number: 001-040

Abstract:

Transferring data to and from relational databases is testing and relentless. Since data exchange requires watchful taking care of, Apache Sqoop, another way to say "SQL to Hadoop," was made to perform bidirectional data exchange amongst Hadoop and any outer organized information store. Exploiting MapReduce, Hadoop's execution motor, Sqoop plays out the transfers in a parallel way. It is extremely testing errand to transfer data with greatest execution and effective way.

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