Pillar No. 8: Big Data Components

  • Chaki S
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Abstract

We live in a world that is increasingly connected, instrumented, and integrated. Huge volumes of data are generated worldwide that are both structured and unstructured. Estimates based on numerous studies show that unstructured data generated from numerous sources, such as social media, sensors, machines, RFID tags, weblogs, and so forth, constitute 80% of the data generated worldwide. To put things in perspective, 30 billion pieces of content were added to Facebook by over 600 million users in October 2015 and 2.9 million e-mails are sent worldwide every second. Around 30 billion searches are created on Twitter in a month. Traditionally enterprise information management (EIM) has looked at only the structured data, but with the increasing emphasis on analyzing new data sources and data types to provide unique insights concerning product feedback and customer service, more and more enterprises are looking at ways to analyze such data sets. This brings us to the world of “big data” and how big data solution components are now a large part of the EIM landscape of enterprises in transformation.

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APA

Chaki, S. (2015). Pillar No. 8: Big Data Components. In Enterprise Information Management in Practice (pp. 129–145). Apress. https://doi.org/10.1007/978-1-4842-1218-9_11

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