Time Series Analytics Drives More Granular Visibility of Trends in Data






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Time Series data is generated when monitoring industrial processes or tracking business metrics.

The explosive growth in Time Series Data is being driven by advances in sensors, connections, databases, online systems, and analytics tools.

Time Series analytics provides business insights which enable firms to forecast and predict the future.

Extracting high-quality insight from Time Series data can be challenging because it is multi-dimensional, complex, huge in scale, and often driven by the Internet of Things (IoT).

To leverage this asset, it is important to develop infrastructure with not only enormous storage and computing power, but also sophisticated analytics capabilities.

Outlook Series' Michael Lippis interviews Eva Nahari to gain Cloudera's perspective on Time Series Analytics.

Eva is a Senior Director of Product Management at Cloudera.

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