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| Content Provider | ACM Digital Library |
|---|---|
| Editor | Tzoumas, Kostas Babu, Shivnath |
| Copyright Year | 2013 |
| Abstract | Data analytics has the potential to be a transformer of scientific research, and data-driven business decisions. By effectively analyzing huge volumes of data, scientific research can be transformed from hypothesis-driven to data-driven, where forming scientific hypotheses will be aided by discovering patterns in vast quantities of data. For most technology companies that operate on a Web scale, analyzing customer data can provide insights on customer behavior, and lead to answers for critical business decisions. Cloud computing has emerged as a cost-effective and elastic computing paradigm. Cloud infrastructures scale to massive numbers of commodity computing nodes and provide adaptive provisioning without prohibitive initial investments. Data analytics has the potential to be a significant cloud application, and to constitute a large fraction of the workload of modern data centers. Designing the infrastructures and systems for data management in the new computing environments remains an open challenge. |
| ISBN | 9781450322027 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-06-23 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Conference Proceedings |
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