Briefing Room with Claudia Imhoff and Infobright
Apr 04, 2011
The Growing "Big Data" Challenge: Analyzing Machine-Generated Data
Machine-generated data continues to outpace the growth of other enterprise data by a significant margin. For this type of data (such as web data, network logs, telecom records, stock tick data and sensor data), speed to analysis makes all the difference and latency is an increasingly dirty word. Traditional data warehouse approaches are ill-suited to meeting the time and speed required. For that reason, new technologies have emerged that allow organizations to fully tap into the intelligence that can derived from effectively managing and mining this type of data.
Watch this episode of The Briefing Room to learn from visionary consultant and analyst Dr. Claudia Imhoff, who shares her insights on how the landscape of analysis is rapidly changing. Imhoff is briefed by Susan Davis of Infobright, who details her company's approach to delivering fast analysis of machine-generated data without the database work otherwise required: no indexes, no projections, no data partitioning or manual tuning.
Please fill out the form below to view the webinar: Analyzing Machine-Generated Data: The Growing Big Data Challenge
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