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Turn Big Data into Big Value
| Content Provider | Semantic Scholar |
|---|---|
| Abstract | Some of today's most successful companies achieve game-changing business advantages by capturing, analyzing, and acting upon vast amounts of diverse, fast-moving " big data. " This paper describes three usage models that can help you implement a flexible and efficient big data infrastructure to realize competitive advantages in your own business. It also describes Intel innovations in silicon, systems, and software that can help you to deploy these and other big data solutions with optimal performance, cost, and energy efficiency. Big data is often compared to a tsunami. Today's five billion cell phone users and nearly one billion Facebook* and Skype* users generate unprecedented volumes of data, and they represent only part of the global online population. Intel estimates that more than 1,500 exabytes (EB) of data—1,500 billion gigabytes—flowed through the cloud in 2012. To put that in perspective, the total number of words spoken in all of human history is estimated at about 5 EB. Nor have the flood waters of big data begun to level out. We are moving quickly toward the " Internet of things, " in which vast numbers of networked sensors in businesses, homes, cars, and public places drive data generation to almost unimaginable levels (Figure 1). Yet comparing big data with a tsunami misses the most important point. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://software.intel.com/sites/default/files/article/402150/turn-big-data-into-big-value.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
