A REVIEW ON PERFORMANCE EVALUATION OF SQL-ON-HADOOP SYSTEMS
Mansi Bhadoria
, Dr. Sachin Goyal , Dr.Ratish Agarwal
Hadoop, Hive, SQL, Mapreduce, SQL-on-Hadoop
The quantity of data which is generated by various industries for business intelligence is emerging speedily, and to analyze these enormous quantity of complex facts is an expensive task by traditional analytical techniques.apache Hadoop is an open source solution for storage along with processing these large amount of complicated facts, Hadoop is being used in many companies like Facebook, Yahoo, etc. Apache hadoop employs HDFS to store up the data and mapreduce framework for processing facts on commodity hardware. In spite of this, the mapreduce framework supports java programming model which is very minimal level and developers needs to write complex and custom programs to deal with the records and these programs is troublesome to write, preserve and reprocess. In the view of this paper, we proposed apache Hive which is an open source data warehouse analytical solution integrated upon the hadoop. Hive supports SQL identical to declarative language entitled as HiveQL whose queries are compiled by hive compiler and then converted into mapreduce jobs which are achieved by means of hadoop. Within this paper we can also discuss the significance of SQL-on-hadoop system.
"A REVIEW ON PERFORMANCE EVALUATION OF SQL-ON-HADOOP SYSTEMS", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 6, page no.435 - 439, June-2018, Available :https://ijsdr.org/papers/IJSDR1806071.pdf
Volume 3
Issue 6,
June-2018
Pages : 435 - 439
Paper Reg. ID: IJSDR_180430
Published Paper Id: IJSDR1806071
Downloads: 000347223
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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