Traditional RDBMS are inadequate when it comes to interpreting and analyzing massive quantities of machine-generated IT data. Discover a unique approach to handling large, semi-structured or unstructured time-series data that provides rapid cross-correlation between different data types and take advantage of unprecedented operational visibility and informed decision making.
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
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