Business Intelligence on Hadoop (BIoH)
Journal: International Journal of Science and Research (IJSR) (Vol.5, No. 8)Publication Date: 2016-08-05
Authors : Rakesh Kumar Sahoo; Kaumod Mishra;
Page : 696-701
Keywords : BI on Hadoop; Hadoop;
Abstract
This document gives insight into BI/SQL query processing for analytics over Hadoop data. Lately SQL on Hadoop or BI-On-Hadoop has gained significant acceptance in the Big Data Market. Out of all the solutions providing SQL over Hadoop, Hive is the most popular access mechanism on top of Big Data system as most of the BI tools support it. But is it the right and performant access mechanism on Hadoop. In this research, detailed analysis and experimental results, we evaluate various access mechanism using BI tool on top of Hadoop which includes Hive, Drill, Presto, Spark, Tez and Jethro. Various features, advantages and disadvantages of each access mechanism is described.
Other Latest Articles
- A Survey on Face Spoofing Detection
- Clematis roylei Rehder (Ranunculaceae): A Threatened Plant from Dalma Wildlife Sanctuary, Jharkhand
- A Case of a Dog Bite Causing Avulsion of the Upper Eyelid
- GSM based Energy Meter Reading and Billing
- Study of Solubility and Speciation of Iron Sulfates in Phosphoric Acid Milieu ?5.5-14 Mole?
Last modified: 2021-07-01 14:42:41