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Big Data Technologies:BigQuery vs MapReduce


Mohd Danish , DuxConcept Technology, Jasola, New Delhi, India; Prof. Saoud Sarwar , Al-Falah School of Engg. & Tech. Faridabad, India ; Md Rashid Ashraf, BullsEyes Marketing Ltd, New Delhi, India


Big data, BigQuery, MapReduce, Columnar Storage, data warehouse


The Big Data represents the incoming data that are continuously increasing in volume, variety and complexity. It is dynamic in nature and may or may not be stored in traditional DBMSs. In order to act effectively on big data, businesses must be able to understand data quickly, but also must be able to explore this data for value, allowing analysts to ask and iterate their business questions quickly. Querying massive datasets can be time consuming and expensive without the right hardware and infrastructure.Google handles the Big Data, coming from Gmail,Youtube and Google docs every second. Dremel is a query service that allows Google to run SQL-like queries against very, very large data sets and get accurate results in mere seconds. Dremel was launched to general availability, with its core feature,under the name of BigQuery. We will discuss how BigQuery compares to existing Big Data technologies like MapReduce and data warehouse solutions.

Other Details

Paper ID: IJSRDV2I12001
Published in: Volume : 1, Issue : 12
Publication Date: 01/03/2013
Page(s): 2668-2670

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