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Enterprise Data Solution Leveraging Data Warehousing for Big Data Veracity at Saudi Aramco

Authors:
Muhammad Khakwani

Keywords: Big Data; Veracity, Data Warehouse; Oil and Gas.

Abstract:
This paper deals with the challenge faced by large organizations of establishing Big Data veracity, for maximizing their return on investment. Large enterprises, whether commercial or government, are collecting data at an unprecedented rate. Nowadays, data entry is not limited to traditional back office transactions; increasingly, data is gathered from sensors installed in physical assets and transmitted in real-time over large networks. Data technology professionals approach this new wealth of data at various levels defining innovative techniques and applying them in areas of data storage, data warehousing, data mining, semantic logic algorithms, complex event processing etc. For business stakeholders, the benefit is not in the increasing speeds of data acquisition, nor in the variety of data gathered. Return on investment is realized when the data is transformed into information which decision-makers can trust for making operational and analytical decisions, giving the organization a competitive advantage. Data Warehousing plays a critical role in assessing Big Data veracity, identifying problem areas, and building the trust needed for decision-making.

Pages: 74 to 79

Copyright: Copyright (c) IARIA, 2014

Publication date: April 20, 2014

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-334-6

Location: Chamonix, France

Dates: from April 20, 2014 to April 24, 2014