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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
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.