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Splunk for Big Data: Making Machine-Generated Data Valuable
sponsored by Splunk
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Existing business intelligence (BI) and data warehouse systems are not engineered for high-volume, dynamic and unstructured data. Emerging open-source technologies can provide part of the answer, but typically require extensive and time-consuming integration with other open-source projects.
This white paper details an enterprise system for managing and analyzing machine data. Read on to learn how you can solve many of these problems:
- Machine data generated by a multitude of disparate sources
- Unstructured data that is difficult to fit into a predefined scheme
- High volumes of data and time-series based data that is hard to approach and manage
- And much more.
(THIS RESOURCE IS NO LONGER AVAILABLE.)
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