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Big Data Landscape

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International Journal of Scientific and Research Publications, Volume 3, Issue 6, June 2013 ISSN 2250-3153

1

Big Data Landscape
Shubham Sharma
Banking Product Development Division, Oracle Financial Services Software Ltd. Bachelor of Technology Information Technology, Maharishi Markandeshwar Engineering College

Abstract- “Big Data” has become a major source of innovation across enterprises of all sizes .Data is being produced at an ever increasing rate. This growth in data production is driven by increased use of media, fast developing organizations, proliferation of web and systems connected to it. Having a lot of data is one thing, being able to store it, analyze it and visualize it in real time environment is a whole different ball game. New technologies are accumulating more data than ever; therefore many organizations are looking forward to optimal ways to make better use of their data. In a broader sense, organizations analyzing big data need to view data management, analysis, and decision-making in terms of “industrialized” flows and processes rather than discrete stocks of data or events. To handle these aspects of large quantities of data various open platforms had been developed. Index Terms- Big Technologies,Tools Data, Landscape,Open Platforms,

nearly 500 exabytes per day .To put the numbers in perspective this is equivalent to 5×1020 bytes per day. Almost 200 times higher than all the sources combined together in the world. To handle this huge chunk of data will be hard with the existing data management technologies. Hence the technology transitions have become imminent.

II. TECHNOLOGY TRANSITION With the introduction of Big Data platforms there has been a change in analytic techniques of organizations. The focus of the organizations has moved from orthodox methods like trend analysis and forecasting using historic data to its

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