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9811095178 Understanding Big Data info@nextgenscholars.com What is Big Data anyway? “Big Data is a term applied to data sets whose size is beyond the ability of commonly used software tools to capture, manage and process within a tolerable elapsed time” – wiki So Big that a single dataset may contain few terabytes to many petabytes of data. But wait, volume is not the only thing about it. Copyright @ NextGen Scholars
9811095178 Understanding Big Data info@nextgenscholars.com • Typically Big Data refers to 3 types of data Traditional Enterprise Data • Customer Info from CRM • Banking and Financial transactions • Logistics, Sales and Marketing Machine generated / Sensor data • Call detail records (CDR) • Web Application Logs • Manufacturing Sensors • Trading systems data Social Data • Facebook • Twitter Copyright @ NextGen Scholars
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9811095178 info@nextgenscholars.com Understanding Big Data • Describes the relative size of data to the processing capability • Process Terabytes of data within a few minutes • To address this challenge we need technologies that store, manage and process vast amount of data in a scalable fashion and provide distributed approaches of retrieving the data Copyright @ NextGen Scholars
9811095178 Understanding Big Data info@nextgenscholars.com • Describes the frequency at which data is generated, captured and shared • Even at 140 characters per tweet, Twitter generates more than 8 TB of data per day • Real time offers in the consumer world require fast analysis and immediate feedback loops so as to align promotions with geo location data, customer purchase history and current sentiment Copyright @ NextGen Scholars
9811095178 Understanding Big Data info@nextgenscholars.com • Non traditional data formats exhibit a dizzying rate of change • A proliferation of data types from social, machine and mobile sources no longer fits into neat, easy to consume structures • Challenge is to manage and process structured, semi structured and unstructured data in the same manner
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