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Real-time analytics refers to the process of collecting, analyzing, and interpreting data instantly as it is generated. This approach enables you track and monitor activity, and make decisions based on real-time insights on data stored in a . Real-time analytics geolocation This page shows you how to integrate Grafana with a and make insights based on visualization of data optimized for size and speed in the columnstore.

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Prerequisites

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Optimize time-series data in hypertables

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Optimize your data for real-time analytics

When converts a chunk to the columnstore, it automatically creates a different schema for your data. creates and uses custom indexes to incorporate the segmentby and orderby parameters when you write to and read from the columstore. To increase the speed of your analytical queries by a factor of 10 and reduce storage costs by up to 90%, convert data to the columnstore: Just to hit this one home, by converting cooling data to the columnstore, you have increased the speed of your analytical queries by a factor of 10, and reduced storage by up to 90%.

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Monitor performance over time

A Grafana dashboard represents a view into the performance of a system, and each dashboard consists of one or more panels, which represent information about a specific metric related to that system. To visually monitor the volume of taxi rides over time:

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Optimize revenue potential

Having all this data is great but how do you use it? Monitoring data is useful to check what has happened, but how can you analyse this information to your advantage? This section explains how to create a visualization that shows how you can maximize potential revenue. You have integrated Grafana with a and made insights based on visualization of your data.